Mesin Penetas Telur Burung Murai Batu Dengan Monitoring Camera ESP32 Berbasis IoT

Burung murai batu terancam keberadaannya di alam akibat perburuan liar. Perlu upaya konservasi melalui penangkaran ex-situ. Namun penangkaran secara ex-situ menemui kendala dibandingkan dengan pengeraman secara alami karena perbedaan suhu dan kelembapan di penangkaran dengan habitat aslinya yang berakibat pada kegagalan dalam penetasan. Untuk itu diperlukan mesin penetas telur untuk membantu proses penetasan. Mesin penetas telur yang sudah ada masih dimonitoring secara manual sehingga menyita banyak wahtu dan tidak efisien. Penelitian ini bertujuan membuat mesin penetas telur burung murai batu yang termonitoring suhu, kelembapan dan visual menggunakan metode internet of things dengan platform MIT APP Inventor. Sensor DHT22 digunakan untuk pengambilan nilai suhu dan kelembapan, Camera ESP32 sebagai monitoring secara visua. Hasil pengujian mesin penetas telur burung murai batu dapat termonitoring pada smartphone secara realtime dengan delay 1,7 hingga 2,5 detik.

Assessing the Impact of an Original Soft Communicative Robot in a Nursing Home in Japan: Will Softness or Conversations Bring more Smiles to Older People?

It has been reported that robotics-aided care can contribute to enhancing older people’s social participation and quality of life in nursing homes, while simultaneously reducing the burden on care professionals at nighttime. Due to increasing demand for social care and the relative workforce shortage, it is likely that a greater number and variety of robots will be introduced and implemented in the future. While the benefits of applying robots and assistive technologies are recognized, the current limitations and weaknesses have also been identified. One of these is the difficulty associated with a user-centered design, involving older adults with impaired cognitive and sensory abilities in nursing homes. In order to overcome this challenge, a project was carried out to develop a soft and compact bedside communication robot with an input/output device, connected to existing technologies (e.g. monitoring camera, biological sensor). Drawing on the principle of gemba (deference to frontline professionals’ experience, expertise and skills), users’ feedback was reflected in the iterative steps of robot development. The original soft and communicative robot was introduced and its effectiveness was tested by measuring older people’s reactions and changes in their behaviors and engagement levels. The article reports the development process and results of a small-scale evaluation study, comparing the impact of this original soft-type robot with and without its communicative functions. The human–robot interactions were captured on video, and the analysis revealed that while communicative robots reduced the psychosocial burden on older adults, positive emotional, verbal, visual and behavioral engagement was generated with the help of the non-verbal plush toy.

SpecTalk: Conforming IoT Implementations to Sensor Specifications

Due to the fast evolution of Sensor and Internet of Things (IoT) technologies, several large-scale smart city applications have been commercially developed in recent years. In these developments, the contracts are often disputed in the acceptance due to the fact that the contract specification is not clear, resulting in a great deal of discussion of the gray area. Such disputes often occur in the acceptance processes of smart buildings, mainly because most intelligent building systems are expensive and the operations of the sub-systems are very complex. This paper proposes SpecTalk, a platform that automatically generates the code to conform IoT applications to the Taiwan Association of Information and Communication Standards (TAICS) specifications. SpecTalk generates a program to accommodate the application programming interface of the IoT devices under test (DUTs). Then, the devices can be tested by SpecTalk following the TAICS data formats. We describe three types of tests: self-test, mutual-test, and visual test. A self-test involves the sensors and the actuators of the same DUT. A mutual-test involves the sensors and the actuators of different DUTs. A visual-test uses a monitoring camera to investigate the actuators of multiple DUTs. We conducted these types of tests in commercially deployed applications of smart campus constructions. Our experiments in the tests proved that SpecTalk is feasible and can effectively conform IoT implementations to TACIS specifications. We also propose a simple analytic model to select the frequency of the control signals for the input patterns in a SpecTalk test. Our study indicates that it is appropriate to select the control signal frequency, such that the inter-arrival time between two control signals is larger than 10 times the activation delay of the DUT.

GG Carinae: discovery of orbital-phase-dependent 1.583-day periodicities in the B[e] supergiant binary

ABSTRACT GG Carinae (GG Car) is a binary whose primary component is a B[e] supergiant. Using photometric data from the Transiting Exoplanet Survey Satellite (TESS), All Sky Automated Survey (ASAS), Optical Monitoring Camera (OMC), and All Sky Automated Survey for Supernovae (ASAS-SN), and spectroscopic data from the Global Jet Watch to study visible He i, Fe ii, and Si ii emission lines, we investigate the short-period variations that are exhibited in GG Car. We find a hitherto neglected periodicity of 1.583156 ± 0.0002 d that is present in both its photometry and the radial velocities of its emission lines, alongside variability at the well-established ∼31-d orbital period. We find that the amplitudes of the shorter period variations in both photometry and some of the emission lines are modulated by the orbital phase of the binary, such that the short-period variations have largest amplitudes when the binary is at periastron. There are no significant changes in the phases of the short-period variations over the orbital period. We investigate potential causes of the 1.583-d variability, and find that the observed period agrees well with the expected period of the l = 2 f-mode of the primary given its mass and radius. We propose that the primary is periodically pulled out of hydrostatic equilibrium by the quadrupolar tidal forces when the components are near periastron in the binary’s eccentric orbit (e = 0.5) and the primary almost fills its Roche lobe. This causes an oscillation at the l = 2 f-mode frequency that is damped as the distance between the components increases.

Analysis of the evolution of Martian polar caps during Martian Years 34-35 from Mars Express Visual Monitoring Camera

<p>The wide field of view of the Visual Monitoring Camera (VMC) onboard Mars Express, together with the polar orbit of the spacecraft, make VMC very suitable to monitor polar phenomena on Mars<sup>1</sup>. During Martian Years 34 and 35, Martian polar regions were imaged regularly by VMC, and in this work we use this set of images to analyze the evolution of both north and south polar ice caps. We determine the limits of the ice cap at different longitudes and the total area covered by ice as the season evolves, and we analyze the possible influence of the Global Dust Storm in the evolution of the ice caps regression curves. Finally, we describe a number of mid-scale atmospheric features that develop at the edge of the polar caps.</p><p><sup>1</sup> Hernandez-Bernal et al. ”The 2018 Martian Global Dust Storm Over the South Polar Region Studied With MEx/VMC” Geophys. Res. Lett. 46, pp 10330-10337 (2019)</p>

Smart Interrogation System by Detection of Visual Focus of Attention

The paper presents an approach to detect and control the focus of attention of the suspect using his/her eye gaze and head movement direction to build up an automatic interrogation system- specially to detect lies. To this point, we classified interrogation conversation into different criteria and identified the fatal ones. At first, we conducted psychological experiments on the sampled population to detect the different parameters connected with various symptoms when the suspect tells lies and build our knowledgebase with the results. This knowledgebase helps the system to make strategic decisions and to optimize accuracy. A monitoring camera captures continuous interrogation and feeds the frames to our proposed system. 3D head tracker is used to track the head from image and Active Shape Model (ASM) is utilized to localize face points. Vector Field of Image Gradient (VFIG) is calculated to track the eyeball and its rotation within the eye area. Random eye and head movement, change of eyebrow at the critical level of questionnaire provide us the possibility of detecting lies. Finally, experiments are conducted in a controlled environment to validate our psychological findings.