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2021 ◽  
Vol 19 (4) ◽  
pp. 601-618
Author(s):  
Джефф Хиггинботам ◽  
Кайла Конуэй ◽  
Антара Сатчидананд

The purpose of this article is to provide the reader with tools and recommendations for collecting data and making microanalytic transcriptions of interaction involving people using Augmentative Communication Technologies (ACTs). This is of interest for clinicians, as well as anyone else engaged in video-based microanalysis of technology mediated interaction in other contexts. The information presented here has particular relevance to young researchers developing their own methodologies, and experienced scientists interested in social interaction research in ACTs or as well as other digital communication technologies. Tools and methods for recording social interactions to support microanalysis by making unobtrusive recordings of naturally occurring or task-driven social interactions while minimizing recording-related distractions which could alter the authenticity of the social interaction are discussed. Recommendations for the needed functionality of video and audio recording equipment are made with tips for how to capture actions that are important to the research question as opposed to capturing 'generally usable' video. In addition, tips for processing video and managing video data are outlined, including how to develop optimally functional naming conventions for stored videos, how and where to store video data (i. e. use of external hard drives, compressing videos for storage) and syncing multiple videos, offering different views of a single interaction (i. e. syncing footage of the overall interaction with footage of the device display). Finally, tools and strategies for transcription are discussed including a brief description of the role transcription plays in analysis, a suggested framework for how transcription might proceed through multiple passes, each focused on a different aspect of communication, transcription software options along with discussion of specific features that aide transcription. In addition, special issues that arise in transcribing interactions involving ACTs are addressed.


2021 ◽  
Vol 6 ◽  
Author(s):  
Robbie Love ◽  
David Wright

Covert audio recordings feature in the criminal justice system in a variety of guises, either on their own or accompanied by video. If legally obtained, such recordings can provide important forensic evidence. However, the quality of these potentially valuable evidential recordings is often very poor and their content indistinct, to the extent that a jury requires an accompanying transcript. At present, in many international jurisdictions, these transcriptions are produced by investigating police officers involved in the case, but transcription is a highly complex, meticulous and onerous task, and police officers are untrained and have a vested interest in the influence of the transcript on a case, which gives rise to potential inaccuracy. This paper reports the design and results of a controlled transcription experiment in which eight linguistically trained professional transcribers produced transcripts for an audio recording of a conversation between five adults in a busy restaurant. In the context of covert recordings, this recording shares many of the typical features of covert forensic recordings, including the presence of multiple speakers, background noise and use of non-specialist recording equipment. We present a detailed qualitative and quantitative comparison of the transcripts, identifying areas of agreement and disagreement in (a) speaker attribution and (b) the representation of the linguistic content. We find that disagreement between the transcriptions is frequent and various in nature; the most common causes are identified as (i) omission of speech that is included in other transcripts, (ii) variation in the representation of turns, (iii) orthographic variation seemingly motivated by phonetic similarity, and (iv) orthographic variation seemingly not motivated by phonetic similarity. We argue that the variable nature of the transcription of “challenging” audio recordings must be considered in forensic contexts and make recommendations for improving practice in the production of forensic transcriptions.


2021 ◽  
Vol 7 (4) ◽  
pp. 85-92
Author(s):  
Ivan Tkachev ◽  
Roman Vasilyev ◽  
Elena Belousova

Monitoring thunderstorm activity can help you solve many problems such as infrastructure facility protection, warning of hazardous phenomena associated with intense precipitation, study of conditions for the occurrence of thunderstorms and the degree of their influence on human activity, as well as the influence of thunderstorm activity on the formation of near-Earth space. We investigate the characteristics of thunderstorm cells by the method of cluster analysis. We take the Vereya-MR network data accumulated over a period from 2012 to 2018 as a basis. The Vereya-MR network considered in this paper is included in networks operating in the VLF-LF range (long and super-long radio waves). Reception points equipped with recording equipment, primary information processing systems, communication systems, precision time and positioning devices based on global satellite navigation systems are located throughout Russia. In the longitudinal-latitudinal thunderstorm distributions of interest, the dependence on the location of recording devices might be manifested. We compare the behavior of thunderstorms on the entire territory of the Russian Federation with those in the Baikal natural territory. We have established the power of thunderstorms over the Baikal region is lower. The daily variation in thunderstorm cells we obtained is consistent with the data from other works. There are no differences in other thunderstorm characteristics between the regions under study. This might be due to peculiarities of the analysis method. On the basis of the work performed, we propose sites for new points of our own lightning location network, as well as additional methods of cluster analysis.


2021 ◽  
Vol 7 (4) ◽  
pp. 91-98
Author(s):  
Ivan Tkachev ◽  
Roman Vasilyev ◽  
Elena Belousova

Monitoring thunderstorm activity can help you solve many problems such as infrastructure facility protection, warning of hazardous phenomena associated with intense precipitation, study of conditions for the occurrence of thunderstorms and the degree of their influence on human activity, as well as the influence of thunderstorm activity on the formation of near-Earth space. We investigate the characteristics of thunderstorm cells by the method of cluster analysis. We take the Vereya-MR network data accumulated over a period from 2012 to 2018 as a basis. The Vereya-MR network considered in this paper is included in networks operating in the VLF-LF range (long and super-long radio waves). Reception points equipped with recording equipment, primary information processing systems, communication systems, precision time and positioning devices based on global satellite navigation systems are located throughout Russia. In the longitudinal-latitudinal thunderstorm distributions of interest, the dependence on the location of recording devices might be manifested. We compare the behavior of thunderstorms on the entire territory of the Russian Federation with those in the Baikal natural territory. We have established the power of thunderstorms over the Baikal region is lower. The daily variation in thunderstorm cells we obtained is consistent with the data from other works. There are no differences in other thunderstorm characteristics between the regions under study. This might be due to peculiarities of the analysis method. On the basis of the work performed, we propose sites for new points of our own lightning location network, as well as additional methods of cluster analysis.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8032
Author(s):  
Fabio Orecchini ◽  
Adriano Santiangeli ◽  
Fabrizio Zuccari ◽  
Adriano Alessandrini ◽  
Fabio Cignini ◽  
...  

This paper presents the performance analysis of a latest-generation hybrid vehicle (Toyota Yaris 2020) with a testing campaign in real road conditions and a comparison with the previous model (Toyota Yaris 2017). The study was conducted by applying the Real Drive Truth Test protocol, developed by the research group, validated and spread to other full hybrid vehicles: Toyota Prius IV (2016) and Toyota Yaris 2017 (2017). In the case of the 2020 tests, the co-presence on board—deemed unsafe in the usual ways given the ongoing pandemic—was achieved through precise and sophisticated remote control. An on-board diagnostic computer, video transmission and recording equipment guarantee the virtual co-presence of a technical control room and a driver. Thus, several engineers can follow and monitor each vehicle via a 4G modem (installed in each vehicle), analysing data, route and driver behaviour in real-time, and therefore even in the presence of a single occupant in the car under test. The utmost attention has also been paid to adopting anti-COVID behaviours and safety standards: limited personal interactions, reduced co-presence in shared rooms (especially in the control room), vehicle sanitising between different drivers, computers and technicians and video technicians working once at a time. The comparison between the two subsequent vehicle models shows a significant improvement in the performance of the new generation Yaris, both in terms of operation in ZEV (zero-emission vehicle) mode (+15.3%) and in terms of consumption (−35.1%) and overall efficiency of the hybrid powertrain (+8.2%).


2021 ◽  
Vol 65 (11) ◽  
pp. 1136-1144
Author(s):  
A. E. Rodin ◽  
V. V. Oreshko ◽  
V. A. Fedorova

Abstract We have developed a model for the time delay of pulse arrival between stations on the Moon and Earth. Comparison of the lunar and terrestrial time scales is proposed to be carried out by comparing the arrival time moments of giant pulses from pulsars. A method for such a comparison has been developed based on the cross-correlation analysis of the received pulses. Using the example of giant pulses from the pulsar PSR 0531+21, we showed that the error of comparing scales in the case of a high signal-to-noise ratio reaches a sub-discrete level and, thus, is determined by the reception band of the recording equipment.


2021 ◽  
Vol 4 (1) ◽  
pp. 78-84
Author(s):  
Sri Melda Br Bangun ◽  
Ade Putri Husniawati ◽  
Ika Nur Saputri

At the end of 2019 a new virus was discovered which is now an infectious disease outbreak around the world and WHO (World Health Organization) gives the name of the virus that is currently endemic as Covid-19 (Corona Virus Diseases 2019). This research is a qualitative research that aims to collect in-depth data from sources or informants by conducting direct interviews. The number of informants in this study were 10 people. The data collection is done by direct observation to field conducted in-depth interviews of workers and equipped with recording equipment sound made to 10 informants. The results of the research carried out are that there are workers who have not been able to carry out and implement health protocols in accordance with the recommendations of the government. Of the several health protocols that exist at the Slaughter Goat Research Workshop, there are health protocols that have been violated by workers, namely all workers do not wear masks when in the work environment, the absence of workers who apply physical or social distancing during work or during rest hours, water and hand washing soap are not provided and hand sanitizers are never used and are only for display in the office, and workers believe that it is impossible for fellow workers to transmit the Covid-19 virus to fellow workers although there are already some workers in Loka Penelitian Kambing Potong who have contracted the virus, they are not worried and are not afraid of it. The advice that can be given is that workers must be aware of the importance of implementing health protocols and Loka Penelitian Kambing Potong should provide guidance and direction to workers in an effort to suppress the decline in Covid-19 cases


Author(s):  
Lina Lina ◽  
Jason Su ◽  
Daniel Ajienegoro

Advances in technology have made it easier to surveillance purpose by installing recording equipment that can be placed in certain strategic locations. The existence of this technology also brings changes in the analysis phase of video recordings and images that have been obtained. The processing of recorded videos no longer uses manual methods but can be done automatically using image processing and artificial intelligence algorithms. Based on the obtained video recordings, analysis can be carried out for surveillance purpose, object tracking, human activity recognition, etc. This paper discusses the development of an automatic human activity recognition system based on video recordings using Multilayer Perceptron method. The recorded video will be transformed into a collection of images which are then processed with the Multilayer Perceptron algorithm for the recognition process. The output of the designed system is the recognition of activities carried out by humans at a certain time and saved them in a log with a certain timestamp. In this paper, there are five types of human activities that can be recognized automatically by the system, namely raising hands, clapping, standing, sitting, and studying. The experimental results show that the accuracy rate of the proposed system achieved 97.45% for image datasets obtained freely from the internet, while 100% accuracy was obtained for image datasets collected with IP Cameras. Keywords: Human activity recognition; video recording; Multilayer PerceptronAbstrakKemajuan teknologi memungkinkan kegiatan pengawasan terhadap lingkungan menjadi lebih mudah yaitu dengan melakukan pemasangan peralatan rekam yang dapat ditempatkan pada lokasi-lokasi strategis tertentu. Keberadaan peralatan teknologi ini juga membawa perubahan dalam proses analisis terhadap rekaman video maupun gambar yang telah didapatkan. Proses pengolahan terhadap video rekaman tidak lagi menggunakan cara manual, namun dapat dilakukan secara otomatis dengan menggunakan teknologi pengolahan citra dan kecerdasan buatan. Berdasarkan rekaman video maupun gambar yang diperoleh, analisis dapat dilakukan untuk mengawasi keamanan lokasi, mencatat perubahan kondisi objek tertentu, mengenali aktivitas manusia pada saat tertentu, dan lain sebagainya. Makalah ini membahas pengembangan sebuah sistem pengenalan aktivitas manusia secara otomatis berdasarkan rekaman video menggunakan metode Multilayer Perceptron. Rekaman video sebelumnya akan dicacah menjadi kumpulan citra yang kemudian diproses dengan algoritma Multilayer Perceptron untuk proses pengenalannya. Luaran dari sistem aplikasi yang dirancang berupa pengenalan aktivitas yang dilakukan manusia pada waktu tertentu dan pencatatan aktivitas tersebut dalam sebuah log dengan timestamp tertentu. Dalam makalah ini, terdapat lima jenis aktivitas manusia yang dapat dikenali secara otomatis oleh sistem, yaitu mengangkat tangan, bertepuk tangan, berdiri, duduk, dan belajar. Hasil pengujian menunjukkan bahwa keberhasilan pendeteksian aktivitas manusia dengan metode Multilayer Perceptron memiliki tingkat akurasi 97.45% untuk dataset citra yang diperoleh secara bebas dari internet, sedangkan untuk dataset citra yang dikumpulkan dengan IP Camera memiliki tingkat akurasi sebesar 100%.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hyeong Won Yu ◽  
Dongheon Lee ◽  
Keunchul Lee ◽  
Su-jin Kim ◽  
Young Jun Chai ◽  
...  

AbstractMany patients experience cervical adhesions after thyroid surgery. To date, however, no studies have objectively measured the effects of anti-adhesion agents on cervical adhesion symptoms. This study evaluated the effects of an anti-adhesion agent on cervical adhesions after thyroid surgery, as determined using a system that measures the extent of marker movement objectively. One hundred patients were randomized in a 1:1 ratio to undergo thyroid surgery with or without the anti-adhesion agent Collabarrier. Using specially manufactured recording equipment, the position of the marker on neck skin was measured before surgery, and 2 weeks, 3 months, and 9 months after surgery. Relative change in marker distance, calculated by subtracting the marker position before surgery from the marker positions 2 weeks, 3 months, and 9 months after surgery, differed significantly in the groups of patients who underwent thyroid surgery with and without the anti-adhesion agent (P < 0.05). A novel measuring system can objectively evaluate the effectiveness of a thyroid anti-adhesion agent. The anti-adhesion agent used significantly reduced adhesions compared with the control group. The trial is registered at www.cris.nih.go.kr (KCT0005745; date of registration, 08/01/2021).


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257054
Author(s):  
Marie J. Zahn ◽  
Kristin L. Laidre ◽  
Peter Stilz ◽  
Marianne H. Rasmussen ◽  
Jens C. Koblitz

Echolocation signals of wild beluga whales (Delphinapterus leucas) were recorded in 2013 using a vertical, linear 16-hydrophone array at two locations in the pack ice of Baffin Bay, West Greenland. Individual whales were localized for 4:42 minutes of 1:04 hours of recordings. Clicks centered on the recording equipment (i.e. on-axis clicks) were isolated to calculate sonar parameters. We report the first sonar beam estimate of in situ recordings of wild belugas with an average -3 dB asymmetrical vertical beam width of 5.4°, showing a wider ventral beam. This narrow beam width is consistent with estimates from captive belugas; however, our results indicate that beluga sonar beams may not be symmetrical and may differ in wild and captive contexts. The mean apparent source level for on-axis clicks was 212 dB pp re 1 μPa and whales were shown to vertically scan the array from 120 meters distance. Our findings support the hypothesis that highly directional sonar beams and high source levels are an evolutionary adaptation for Arctic odontocetes to reduce unwanted surface echoes from sea ice (i.e., acoustic clutter) and effectively navigate through leads in the pack ice (e.g., find breathing holes). These results provide the first baseline beluga sonar metrics from free-ranging animals using a hydrophone array and are important for acoustic programs throughout the Arctic, particularly for acoustic classification between belugas and narwhals (Monodon monoceros).


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