Implementation of Attender Robot in Campus

2021 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
Chaithanya D.J ◽  
Ramya B ◽  
Aisiri A.P ◽  
Spoorthi S.P

A robot is a machine that has been programmed by a computer and has external or embedded control over its movements and activities. It has a wide range of applications in all aspects of life. A robot can be employed as an attender in a university setting to distribute circulars around instead of numerous people doing it manually, which is a costly and time-consuming method. The unfamiliar campus might be challenging for parents to navigate. In this review paper, we focus on a voice-based attender robot with line-following skills and speech-to-text recognition that may be utilized for several tasks at universities, such as passing out circulars, engaging with parents, and assisting them with navigation. The goal of this work is to create a robot that can communicate with humans using Spoken Natural Language. Two languages will be highlighted here: English and Kannada. This system employs a module that recognizes human speech, which is then processed and used to act or respond to the user's order. In this fashion, the voice-activated attender robot can be used in a university setting. However, it is not confined to universities. It can also be used in locations such as train stations, bus stops, large factories, and other similar settings.

2021 ◽  
Vol 2115 (1) ◽  
pp. 012006
Author(s):  
Ambreen Saniya ◽  
M S Chandana ◽  
Maria Sharon Dennis ◽  
K Pooja ◽  
D J Chaithanya ◽  
...  

Abstract A robot is a machine which is programmed by a computer and the movements and functions of which are controlled by an external or an embedded control. It has dynamic uses in all domains of life. A robot in a university setting can be used as an attender for passing circulars around instead of multiple attenders doing the task manually which is a cost and time consuming process. Parents often find it difficult to navigate through the unfamiliar university. In this paper, we have focused on a voice based attender robot with line following capabilities along with speech recognition that can be used at universities for a variety of purposes like passing around the circulars, interacting with parents and helping them navigate through the university through Spoken Natural Language. The main objectives of the proposed work is to reduce the burden of passing circulars, calling a student/faculty on the attender by designing a robot that is also competent enough to connect with human through spoken natural language such as English or Kannada, so that it interacts with parents who are new to the institution and do not know whom to approach. The main aim of this work is to introduce a robot that it is able to interact with human through the Spoken Natural Language. Here, the focus is on two languages; English and Kannada. This system uses a voice recognition module to recognize human voice and a voice playback module is used to reply back in either English or Kannada according to the user’s command. It can work in two modes, the voice recognition mode to answer to user queries or in line following mode to pass circulars, call student/faculty. In this way, the voice based attender robot finds its applications in the university setting. But it is not limited to only universities. It can also be further implemented in places like railway stations, bus stations, big factories and other similar surroundings.


2019 ◽  
Vol 18 (26) ◽  
pp. 2209-2229 ◽  
Author(s):  
Hai Pham-The ◽  
Miguel Á. Cabrera-Pérez ◽  
Nguyen-Hai Nam ◽  
Juan A. Castillo-Garit ◽  
Bakhtiyor Rasulev ◽  
...  

One of the main goals of in silico Caco-2 cell permeability models is to identify those drug substances with high intestinal absorption in human (HIA). For more than a decade, several in silico Caco-2 models have been made, applying a wide range of modeling techniques; nevertheless, their capacity for intestinal absorption extrapolation is still doubtful. There are three main problems related to the modest capacity of obtained models, including the existence of inter- and/or intra-laboratory variability of recollected data, the influence of the metabolism mechanism, and the inconsistent in vitro-in vivo correlation (IVIVC) of Caco-2 cell permeability. This review paper intends to sum up the recent advances and limitations of current modeling approaches, and revealed some possible solutions to improve the applicability of in silico Caco-2 permeability models for absorption property profiling, taking into account the above-mentioned issues.


2021 ◽  
Vol 30 (1) ◽  
pp. 774-792
Author(s):  
Mazin Abed Mohammed ◽  
Dheyaa Ahmed Ibrahim ◽  
Akbal Omran Salman

Abstract Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to corporate bodies or individuals to cause harm. Even though such mails are often used for advertising services and products, they sometimes contain links to malware or phishing hosting websites through which private information can be stolen. This study shows how the adaptive intelligent learning approach, based on the visual anti-spam model for multi-natural language, can be used to detect abnormal situations effectively. The application of this approach is for spam filtering. With adaptive intelligent learning, high performance is achieved alongside a low false detection rate. There are three main phases through which the approach functions intelligently to ascertain if an email is legitimate based on the knowledge that has been gathered previously during the course of training. The proposed approach includes two models to identify the phishing emails. The first model has proposed to identify the type of the language. New trainable model based on Naive Bayes classifier has also been proposed. The proposed model is trained on three types of languages (Arabic, English and Chinese) and the trained model has used to identify the language type and use the label for the next model. The second model has been built by using two classes (phishing and normal email for each language) as a training data. The second trained model (Naive Bayes classifier) has been applied to identify the phishing emails as a final decision for the proposed approach. The proposed strategy is implemented using the Java environments and JADE agent platform. The testing of the performance of the AIA learning model involved the use of a dataset that is made up of 2,000 emails, and the results proved the efficiency of the model in accurately detecting and filtering a wide range of spam emails. The results of our study suggest that the Naive Bayes classifier performed ideally when tested on a database that has the biggest estimate (having a general accuracy of 98.4%, false positive rate of 0.08%, and false negative rate of 2.90%). This indicates that our Naive Bayes classifier algorithm will work viably on the off chance, connected to a real-world database, which is more common but not the largest.


2007 ◽  
Vol 122 (1) ◽  
pp. 46-51 ◽  
Author(s):  
I N Steen ◽  
K MacKenzie ◽  
P N Carding ◽  
A Webb ◽  
I J Deary ◽  
...  

AbstractObjectives:A wide range of well validated instruments is now available to assess voice quality and voice-related quality of life, but comparative studies of the responsiveness to change of these measures are lacking. The aim of this study was to assess the responsiveness to change of a range of different measures, following voice therapy and surgery.Design:Longitudinal, cohort comparison study.Setting:Two UK voice clinics.Participants:One hundred and forty-four patients referred for treatment of benign voice disorders, 90 undergoing voice therapy and 54 undergoing laryngeal microsurgery.Main outcome measures:Three measures of self-reported voice quality (the vocal performance questionnaire, the voice handicap index and the voice symptom scale), plus the short form 36 (SF 36) general health status measure and the hospital anxiety and depression score. Perceptual, observer-rated analysis of voice quality was performed using the grade–roughness–breathiness–asthenia–strain scale. We compared the effect sizes (i.e. responsiveness to change) of the principal subscales of all measures before and after voice therapy or phonosurgery.Results:All three self-reported voice measures had large effect sizes following either voice therapy or surgery. Outcomes were similar in both treatment groups. The effect sizes for the observer-rated grade–roughness–breathiness–asthenia–strain scale scores were smaller, although still moderate. The roughness subscale in particular showed little change after therapy or surgery. Only small effects were observed in general health and mood measures.Conclusion:The results suggest that the use of a voice-specific questionnaire is essential for assessing the effectiveness of voice interventions. All three self-reported measures tested were capable of detecting change, and scores were highly correlated. On the basis of this evaluation of different measures' sensitivities to change, there is no strong evidence to favour either the vocal performance questionnaire, the voice handicap index or the voice symptom scale.


Author(s):  
Clifford Nangle ◽  
Stuart McTaggart ◽  
Margaret MacLeod ◽  
Jackie Caldwell ◽  
Marion Bennie

ABSTRACT ObjectivesThe Prescribing Information System (PIS) datamart, hosted by NHS National Services Scotland receives around 90 million electronic prescription messages per year from GP practices across Scotland. Prescription messages contain information including drug name, quantity and strength stored as coded, machine readable, data while prescription dose instructions are unstructured free text and difficult to interpret and analyse in volume. The aim, using Natural Language Processing (NLP), was to extract drug dose amount, unit and frequency metadata from freely typed text in dose instructions to support calculating the intended number of days’ treatment. This then allows comparison with actual prescription frequency, treatment adherence and the impact upon prescribing safety and effectiveness. ApproachAn NLP algorithm was developed using the Ciao implementation of Prolog to extract dose amount, unit and frequency metadata from dose instructions held in the PIS datamart for drugs used in the treatment of gastrointestinal, cardiovascular and respiratory disease. Accuracy estimates were obtained by randomly sampling 0.1% of the distinct dose instructions from source records, comparing these with metadata extracted by the algorithm and an iterative approach was used to modify the algorithm to increase accuracy and coverage. ResultsThe NLP algorithm was applied to 39,943,465 prescription instructions issued in 2014, consisting of 575,340 distinct dose instructions. For drugs used in the gastrointestinal, cardiovascular and respiratory systems (i.e. chapters 1, 2 and 3 of the British National Formulary (BNF)) the NLP algorithm successfully extracted drug dose amount, unit and frequency metadata from 95.1%, 98.5% and 97.4% of prescriptions respectively. However, instructions containing terms such as ‘as directed’ or ‘as required’ reduce the usability of the metadata by making it difficult to calculate the total dose intended for a specific time period as 7.9%, 0.9% and 27.9% of dose instructions contained terms meaning ‘as required’ while 3.2%, 3.7% and 4.0% contained terms meaning ‘as directed’, for drugs used in BNF chapters 1, 2 and 3 respectively. ConclusionThe NLP algorithm developed can extract dose, unit and frequency metadata from text found in prescriptions issued to treat a wide range of conditions and this information may be used to support calculating treatment durations, medicines adherence and cumulative drug exposure. The presence of terms such as ‘as required’ and ‘as directed’ has a negative impact on the usability of the metadata and further work is required to determine the level of impact this has on calculating treatment durations and cumulative drug exposure.


Author(s):  
Anna Kuchciak

MUNICIPAL COUNCIL OF SENIORS - THE ROLE OF " THE VOICE OF EXPERIENCE" IN THE MATTERS OF LOCAL COMMUNITIESUnder the Act dated 11 October 2013 amending the Act on Municipal Self- Government, the ability to create municipal councils of seniors was introduced. The considered amendment is one of the wide range of legislative changes resulting from the process of population aging. The article attempts to assess how this optional collective body, aimed primarily at the civic activation of the elderly people and identification of their needs, works in the structure of the basic unit of the territorial system.


Tehnika ◽  
2021 ◽  
Vol 76 (4) ◽  
pp. 509-520
Author(s):  
Nemanja Majstorović ◽  
Vidosav Majstorović ◽  
Radivoje Mitrović ◽  
Žarko Mišković

Basics: Industry 4.0 is a realized reality, which already today has a growing application in medicine and dentistry. So, at this moment, its application is especially important in the fight against covid-19. Aim of the paper: The purpose of this review paper is to understand the role of Industry 4.0 in the field of medicine and dentistry and to identify research directions, including future applications, especially for covid-19. Material and method: A detailed analysis of papers on Industry 4.0 in medicine, dentistry and related fields was performed and possible applications and directions of research were identified, especially for covid-19.Result: Through this review study, we identified different technologies, opportunities and research status of Industry 4.0 in the field of medicine, dentistry and covid-19 pandemic, through 19 areas of application. We can say that Industry 4.0 will become an essential part of tomorrow's smart factory of medical and dental devices. Conclusion: Industry 4.0 shows a wide range of possibilities for the production of newly adapted implants (medical and dental) and innovative tools and instruments for the field of medicine and dentistry. This model enables the creation of a digital clinic and digital office, with a complete system of medical and dental monitoring, which meets the individual requirements of the patient, thus creating the industry of medicine and dentistry with optimization of treatment time and costs. In the future, Industry 4.0 will create new capabilities and innovative protocols for the treatment and care of patients, both in medicine and dentistry.


2020 ◽  
Vol 75 (3) ◽  
pp. 477-491
Author(s):  
Kiss Mariann ◽  
Németh Dezső ◽  
Janacsek Karolina

A hétköznapok során gyakran előfordul, hogy gyengén teljesítünk egy olyan helyzetben, amelyben korábban már bizonyítottuk tudásunkat. A pszichológián belül elméleti és empirikus eredmények is alátámasztják ezt a hétköznapi jelenséget, mely szerint egy adott időpontban mérhető teljesítmény (performancia) nem feltétlenül tükrözi hűen a mögötte álló tudást (kompetencia). Jelen rövid, célzott összefoglaló tanulmánnyal az a célunk, hogy felhívjuk a fi gyelmet a performancia-kompetencia disszociációra a procedurális tanulás területét használva példaként. Fontos azonban kiemelni, hogy ez a jelenség más kognitív funkciók esetén is jelen lehet (pl. nyelvi teljesítmény, döntéshozatal, észlelés), ezért tanulmányunk új kutatásokat ösztönözhet számos kognitív funkció esetén. A korábbi empirikus eredmények áttekintésekor külön hangsúlyt fektetünk a tanulás idői faktoraira, amelyek meghatározhatják, hogy disszociáció lép-e fel adott esetben a performancia és kompetencia között vagy nem. Ezután kitérünk azokra az elméleti magyarázatokra is, amelyek az idői faktorok tanulásra, illetve performancia-kompetencia disszociációra kifejtett hatását próbálják magyarázni. A tanulmány végén kitekintést nyújtunk a disszociáció kutatásmódszertani vonatkozásaira és olyan alkalmazott helyzetekre is, ahol ez a disszociáció jelentősen befolyásolhatja a levont következtetéseket: ilyen például az oktatási-tanulási környezet (készségtanulás, nyelvtanulás), illetve a kognitív tesztek használata a klinikai diagnosztikában. It often occurs in our daily life that we perform weaker in a task in which we have previously shown good knowledge and understanding. In psychology, both theoretical and empirical evidence supports this phenomenon: that is, on certain occasions, our momentary performance does not accurately refl ect our underlying knowledge (competence). The aim of our short, focused review paper is to draw attention to this performance vs. competence dissociation using the fi eld of procedural learning as an example. It is important to note, however, that this phenomenon may occur for a wide range of cognitive functions (e.g., aspects of language performance, decision-making, perception), and therefore, our paper can stimulate research in these areas. In this paper, we review previous empirical fi ndings that focused on the role of temporal factors in procedural learning as these factors can affect whether or not dissociation occurs in a certain case. Then, we briefl y present the explanatory accounts of the role of the temporal factors in learning and in performance vs. competence dissociation. Finally, our review discusses the implications of the presented fi ndings both from a methodological and an applied perspective, highlighting that the dissociation between performance and competence can substantially alter the outcomes and our interpretations in various situations such as in education (e.g., skill learning, language learning) and when applying cognitive tests in clinical settings.


2020 ◽  
pp. 1459-1488
Author(s):  
Wendy A. Powell ◽  
Natalie Corbett ◽  
Vaughan Powell

Virtual Humans are here to stay. From the voice in your satNav to Apple's “Siri”, we are accustomed to engaging in some level of conversation with our technology, and it is rapidly becoming apparent that natural language interfaces have potential in a wide range of applications. Whilst audio-only communication has its place, most natural conversations take place face to face, and believable embodiment of virtual humans is the necessary next step for them to be fully integrated into our lives. Much progress has been made in the creation of relatable characters for film, but real-time facial animation presents a unique set of design challenges. This chapter examines the role of the virtual human, its history, and approaches to design and creation. It looks at ways in which they can be brought to life, interacting, assisting and learning. It concludes with a view into popular culture and perceptions of the future, where fact and fiction meet.


Author(s):  
Jane Manning

This chapter examines a brief but beautiful example of composer Milton Babbitt’s oeuvre—The Widow’s Lament in Springtime. This modestly proportioned song blends both sides of his composing persona—the lyrical and the unabashedly modernistic. The vocal writing is graceful and fluid. It is possessing of an exceptionally wide range, constantly swooping and dipping, yet is perhaps smoother and less fragmentary. Singers with a high level of musicianship will find it exhilarating to sing such lines, as long as problems of pitch and rhythm can be solved. They may even conceal vocal blemishes as the voice cruises over intervals in a curving legato. The tessitura is low enough to suit an alto, but higher pitches should take care. The low-pitched writing, moreover, aids clear enunciation, but flexibility is still a prerequisite for anyone undertaking this piece.


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