3501 research outputs found
Sort by
Tau Ruru: Te Ruru Light Festival: Lake Rotoroa pop-up 2020
No full textArtist Statement: "2020 has been a turbulent year for many. This watchful guardian stands for hope as it calls into the darkness signalling good times ahead. Recycled milk bottles collected during the COVID-19 lockdown were used to construct the ruru and moths." The project was an exploration of how light installations could be developed during a national lock-down. The project explored the use of milk bottles as a sculptural material as, at the time, curbside recycling was not in operation. The work also explored te ao Māori themes of safety and warnings associated with the different calls of ruru (morepork owl). The name of the work alludes to a whakataukī (Māori proverb) that speaks of preserving in hard time. "E rua tau ruru; e rua tau wehe; e rua tau mutu; e rua tau kai." These words seem relevant during the uncertainty of this global pandemic.
Blockchain-enabled circular supply chain management: A system architecture for fast fashion
Get PDFCircular supply chain management is required for firms to transition from a linear make-use-dispose eco-nomic model to a more sustainable circular economy. However, it faces the critical challenge of tracing the reuse of materials over multiple life cycles involving a variety of stakeholders. Blockchain technology can help manage the complexities of circular supply chain management. This paper takes the first step in developing a system architecture of blockchain-enabled circular supply chain management in the fast-fashion industry. The system architecture was validated by two experts in blockchain technology and supply chain management. Managerial implications are discussed for implementing blockchain technology to advance the circular economy agenda
GPS analysis of a team competing in a national under 18 field hockey tournament
Get PDFThe purpose of this study was to utilise global-positioning system (GPS) technology to quantify the running demands of national under 18 field hockey players competing in a regional field hockey tournament. Ten male field hockey players (mean ± SD; age 17.2 ± 0.4 years; stature 178.1 ± 5.2 cm; body mass 78.8 ± 8.8 kg) playing in different positional groups as strikers, midfielders and defenders wore GPS units while competing in six matches over seven days at an under 18 national field hockey tournament. GPS enabled the measurement of total distance (TD), low-speed activity (LSA; 0 -14.9 km/hr), and high-speed running (HSR; ≥ 15 km/hr) distances in addition to distances over five velocity bands (≤ 5.9km.h-1; 6 – 10km.h-1; 10.1 – 14.9km.h-1; 15 – 24.6km.h-1; and ≥ 24.7km.h-1). Midfielders covered significantly higher TD and the highest LSA when compared to other positional groups. Strikers covered significantly higher HSR and the lowest LSA out of all positional groups. These results suggest that these playing positions are sufficiently different to warrant specialised position-specific conditioning training leading into a field hockey tournament. Therefore, training schedules, substitutions and intra-match recovery should be tailored by position, taking into account the needs of the individual players
Influence of family hosting on refugee integration and its implication on social work practice: The French case
Get PDFIn addition to existing institutional barriers in European societies, refugee settlement and integration also faces numerous social challenges, such as discrimination and stigmatisation towards refugee groups. Family hosting is a bold refugee accommodation solution promoted by social workers across the European continent, which draws attention to the complexities of refugee support. This study examines family hosting in France to assess its influences on refugee integration in the host society. Through in-depth interviews with 34 multi-stakeholders (20 refugees, 10 hosting family members and 4 social workers) from different family hosting projects, family hosting has been proven to bring comprehensive influences to refugee integration, such as accumulation of social connection and cultivation of the sense of belonging. Nonetheless, it has also revealed potential limitations alongside the cohabitation process, for instance, the risk of negatively impacting refugees’ privacy and experience of independence. In terms of the implication for future social work practice, the evidence showed that family hosting is not a once-and-for-all solution; it depends on the refugee’s situation and requirements. In addition, for those refugees who are ready to be hosted, the research shows that different hosting schedules, either long-term or short-term, impact on how each case functions, with pros and cons
Security in decentralised computing, IoT and industrial IoT
No full textInternet-of-Things (IoT) is applied in many contexts, Industrial IoT (IIoT) is one such example. This chapter explores the security issues and challenges in IIoT. Cloud Computing is significantly influencing the architectural and implementation factors for IoT. Due to the nature of Cloud and IoT architectures and infrastructures, it is important to consider distributed and Decentralised Computing. With the focus on security aspects and concerns in IIoT, this chapter presents a discussion on Decentralised Computing and security concerns of Decentralised Computing from a Cloud Computing and IoT perspective. The chapter introduces the concept and definitions of Cloud Computing, Decentralised Computing, and IoT. It also addresses how Decentralised Computing is an approach to implement Cloud Architecture and IoT infrastructure, and how Cloud and IoT security concerns affect the deployment of a decentralised architecture. The above security and implementation aspects of Decentralised Computing, Cloud Computing and IoT are mapped into the context of IIoT
Hammond Park Morepork (Ruru) Dataset
No full textThis dataset contains 3493 mel spectrograms adn associated labels for the purpose of developing machine learning models.
Readme (in archive file)
The purpose of this dataset is to allow you to develop models to detect the audio call of the Morepork(Ruru).
The dataset contains mel spectrograms of parts of recordings obtained from a Bird Recorder (The Cacophony Project, https://www.2040.co.nz/collections/cacophonometer-bird-monitoring).
You can split the dataset into training validation to develop your model and on request to [email protected] or [email protected] or https://cacophony.org.nz/contact Tim Hunt can verifiy your model against separate test data (march_2020) not contained in this dataset.
The recorder was located in Hammond Park, Hamilton New Zealand.
Use numpy.load to import the two files.
array_of_all_labels.npy
Contains a list of the labels - in the same order as the mfccs in array_of_all_mfccs.npy
array_of_all_mfccs.npy:
Contains mel spectrograms in the frequency range 600 to 1200 Hz
Each spectrogram represents 1.2 seconds
Python code used to create mel spectrograms:
def load_training_data_audio(recording_id, start_time, y_full_recording, sr):
if y_full_recording is None:
print(f"Recording {recording_id} has changed - going to load from file - start time is {start_time}")
recordings_folder_with_path = parameters.base_folder_for_recordings + '/' + parameters.downloaded_recordings_folder
filename = str(recording_id) + ".m4a"
audio_in_path = recordings_folder_with_path + "/" + filename
y_full_recording, sr = librosa.load(audio_in_path, sr=None, mono=True)
else:
print(f"Recording id is still {recording_id} and start time is now {start_time}")
duration_secs = 1.2 # seems to give a spectrogram size
start_time_seconds_float = float(start_time)
start_position_array = int(sr * start_time_seconds_float)
end_position_array = start_position_array + int((sr * duration_secs))
if end_position_array > y_full_recording.shape[0]:
print('Clip would end after end of recording')
return None, None, None # not sure if you have to return 3 Nones !
y_part = y_full_recording[start_position_array:end_position_array]
# Using Dennis's approach for calculating nfft
slices_per_second = 13 # chosen to give a spectrogram length of 32 as have 32 mels and want a square image
nfft = int(sr / slices_per_second)
hop_length=int(nfft / 2)
specgram = librosa.feature.melspectrogram(
y=y_part,
sr=sr,
n_fft=nfft,
hop_length=hop_length,
n_mels=32,
fmin=600,
fmax=1200)
print(specgram.shape)
mfccs = librosa.power_to_db(specgram, ref=np.max)
# Have been having memory issues - so will save spectrogram as 0-255 integer values
mfccs = (255*(mfccs - np.min(mfccs))/np.ptp(mfccs)).astype(int) # https://stackoverflow.com/questions/1735025/how-to-normalize-a-numpy-array-to-within-a-certain-range
mfccs = np.uint8(mfccs)
if mfccs.shape[1] < 32: # all must be the same size
print("mfccs.shape is less than 32", mfccs.shape)
return None # just throw it away
if mfccs.shape[1] > 32: # all must be the same size
print("mfccs.shape > 32 - will resize", mfccs.shape)
mfccs = mfccs[:,:32]
print("mfccs.shape 32?", mfccs.shape)
mfccs = np.expand_dims(mfccs, axis=2)
return mfccs ,sr , y_full_recordin
Misreading injectable medications- causes and solutions: An integrative literature review
No full textThis integrative review examines research identifying the misreading of injectable medications as a cause of medication error in hospitals, factors affecting injectable medication visibility leading to medication errors, and interventions to increase the readability of injectable medications. Signal detection theory (SDT) is applied to explain why visual enhancement of injectable medications may improve accuracy of administration
Physiological responses and nutritional intake during a 7-Day treadmill running world record
Get PDFUltra-running comprises running events longer than a marathon (>42.2 km). The prolonged duration of ultra-running leads to decrements in most or all physiological parameters and considerable energy expenditure (EE) and energy deficits. SG, 47 years, 162.5 cm, 49 kg, VO2max 4 mL/kg/min−1/2.37 L/min−1, ran continuously for 7 days on a treadmill in 3 h blocks followed by 30 min breaks and slept from 1–5 a.m. Heart rate (HR) oxygen uptake (VO2), rating of perceived exertion, weight, blood lactate (mmol·L−1), haemoglobin (g·dL), haematocrit (%) and glucose (mmol·L−1), and nutrition and hydration were recorded. SG ran for 17.5 h/day, covering ~120 km/day at ~7 km/h. Energy expenditure for each 24 h period was 6878 kcal/day and energy intake (EI) was 2701 kcal/day. EE was 382 kcal/h, with 66.6% from fat and 33.4% from carbohydrate oxidation. 7 day EI was 26,989 kcal and EE was 48,147 kcal, with a total energy deficit (ED) of 21,158 kcal. Average VO2 was 1.2 L·min−1/24.7 mL·kg·min−1, Respriatory echange ratio (RER) 0.80 ± 0.03, HR 120–125 b·min−1. Weight increased from 48.6 to 49.5 kg. Haemoglobin decreased from 13.7 to 11 g·dL and haematocrit decreased from 40% to 33%. SG ran 833.05 km. SG exhibits an enhanced fat metabolism through which she had a large daily ED. Her success can be attributed to a combination of physiological and psychological factors
Te Ruru Light Festival 2020: Lake Rotoroa pop-up - direction/curation
No full textThis one night only, free community event includes six immersive light installations installed along Lake Rotoroa (Hamilton Lake Domain) in Hamilton, New Zealand.
This event, along with a range of other pop-up events, was organised in response to the cancellation of Te Ruru Light Festival in Hamilton Gardens due to the COVID-19 alert level restriction in 2020
Trends in LN-embedding practices at Waikato Institute of Technology (Wintec) in 2019
Get PDFIn this report, we describe the trends in literacy-embedding practices of level-2 and level-3 tutors who worked in vocational contexts at Waikato Institute of Technology (Wintec), and who completed the New Zealand Certificate in Adult Literacy and Numeracy Education (NZCALNE[Voc]) in 2019. We analysed 19 observations, following constructivist grounded theory methodology (Charmaz, 2014), to produce 1302 descriptive labels that highlight literacy and numeracy practices integrated into tutors’ teaching intentionally pursued in a collaborative and mentored training process. Of the initial 12 categories, we conflated the mapping of LN course demands and identifying learners’ LN needs to arrive at a final 11. We then used these categories in an axial analysis (Saldaňa, 2013), categorising the 1302 labels as binaries (i.e. if the label was related to the category, 1 was coded; if not 0 [zero]). The matrix of 14322 ratings of 1s and 0s was then analysed. We calculated the frequency of 1s by category. We argued that the axial analysis allowed us to develop a more holistic perspective which showed how the 1302 labels were configured in relation to the 11 categories of analysis. We concluded that the 11 categories represented key aspects of vocational teaching and training emphasising that LN-embedding practices have to be seamlessly integrated into general pedagogical approaches. A key construct for new tutors is to shape their understanding of seamlessly integrated versus bolted-on LN practices. Our recommendations remain within the whole-of-organisation perspective proposed in the 2017-2018 report (Greyling, 2019)