scholarly journals If There's No Music Up in Heaven Then What's it For?

2020 ◽  
Vol 13 (1) ◽  
pp. 142-153
Author(s):  
Gabriel Tugendstein
Keyword(s):  
Philosophical Discussion ◽  
Night Time ◽  
Philosophical Thought ◽  
Subjective Truth ◽  
The Erotic

In this article, I advocate in favor of music as a method of conveying philosophical thought, in the process defending subjective, non-verbal feeling as a component of true philosophical discussion. I first invoke the Kierkegaardian concepts of subjective truth and the musical-erotic to support my position, then show how such a method could be employed through a case study of the Arcade Fire song “Here Comes The Night Time.” Finally, I confront and disarm the potential accusation that this method would over-intellectualize music through excessive interpretation, removing the erotic nature that empowers it.

If There’s No Music Up in Heaven Then What’s It For?

2020 ◽  
Vol 13 ◽  
pp. 142-152
Author(s):  
Gabriel Tugendstein ◽  
Keyword(s):  
Philosophical Discussion ◽  
Night Time ◽  
Philosophical Thought ◽  
Subjective Truth ◽  
The Erotic

In this article, I advocate in favor of music as a method of conveying philosophical thought, in the process defending subjective, non-verbal feeling as a component of true philosophical discussion. I first invoke the Kierkegaardian concepts of subjective truth and the musical-erotic to support my position, then show how such a method could be employed through a case study of the Arcade Fire song “Here Comes The Night Time.” Finally, I confront and disarm the potential accusation that this method would over-intellectualize music through excessive interpretation, removing the erotic nature that empowers it.

scholarly journals HYBRID GRIDS ANALYSIS WITH RENEWABLE ENERGY AND THERMAL ENERGY FOR STREET LIGHT -A CASE STUDY

2018 ◽  
Vol 6 (2) ◽  
pp. 246-254
Author(s):  
Rajeev Ranjan ◽  
Mahesh kr Nagar ◽  
M.Nithin Choudary ◽  
M.K. Paswan ◽  
Manish Kumar
Keyword(s):  
Economic Assessment ◽  
Energy System ◽  
Solar Panel ◽  
Small Scale ◽  
Night Time ◽  
Generator System ◽  
Hybrid Energy ◽  
Dc System ◽  
Planning And Design

This paper presents a techno-economic assessment for a unique Isolated Hybrid Power System (IHPS) design which could be used for remote areas isolated from the grid which also has the capability of being operated as a smart the hybrid energy system considering solar and wind energy sources for the purpose of street lighting. Solar-Wind Street light is an intelligent, small scale, and off grid LED lighting system. The modelling design and simulations were based on Simulations conducted using the Data collected and HOMER Energy Planning and Design software tools. Its components are solar panel, wind generator system (PVC blowers), Dynamo, LDRs, battery, LED light, charge controller. The energy stored in battery during day time due to solar panel, get extracted by LEDs during the night time (because LDRs get activated due to absence of sun light). Wind also charges the batteries due to wind which is used for glowing street light. The advantage of this idea is to avoid daily running cost and make the system purely off-grid. In this prototype, we have used 12V DC system to supply energy to the lights.

scholarly journals Post-Earthquake Night-Time Light Piecewise (PNLP) Pattern Based on NPP/VIIRS Night-Time Light Data: A Case Study of the 2015 Nepal Earthquake

2020 ◽  
Vol 12 (12) ◽  
pp. 2009 ◽  
Author(s):  
Shengjun Gao ◽  
Yunhao Chen ◽  
Long Liang ◽  
Adu Gong
Keyword(s):  
Infrared Imaging ◽  
Random Noise ◽  
Development Rate ◽  
Night Time ◽  
Nepal Earthquake ◽  
Decomposition Procedure ◽  
Spatiotemporal Changes ◽  
Reconstruction Rate ◽  
2015 Nepal Earthquake

Earthquakes are unpredictable and potentially destructive natural disasters that take a long time to recover from. Monitoring post-earthquake human activity (HA) is of great significance to recovery and reconstruction work. There is a strong correlation between night-time light (NTL) and HA, which aid in the study of spatiotemporal changes in post-earthquake human activities. However, seasonal and noise impact from National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) data greatly limits their application. To tackle these issues, random noise and seasonal fluctuation of NPP/VIIRS from January 2014 to December 2018 is removed by adopting the seasonal-trend decomposition procedure based on loess (STL). Based on the theory of post-earthquake recovery model, a post-earthquake night-time light piecewise (PNLP) pattern is explored by employing the National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) monthly data. PNLP indicators, including pre-earthquake development rate (kp), recovery rate (kr1), reconstruction rate (kr2), development rate (kd), relative reconstruction rate (krp) and loss (S), are defined to describe the PNLP pattern. Furthermore, the 2015 Nepal earthquake is chosen as a case study and the spatiotemporal changes in different areas are analyzed. The results reveal that: (1) STL is an effective algorithm for obtaining HA trend from the time series of denoising NTL; (2) the PNLP pattern, divided into four phases, namely the emergency phase (EP), recovery phase (RP-1), reconstruction phase (RP-2), and development phase (DP), aptly describes the variation in post-earthquake HA; (3) PNLP indicators are capable of evaluating the recovery differences across regions. The main socio-economic factors affecting the PNLP pattern and PNLP indicators are energy source for lighting, type of building, agricultural economy, and human poverty index. Based on the NPP/VIIRS data, the PNLP pattern can reflect the periodical changes of HA after earthquakes and provide an effective means for the analysis and evaluation of post-earthquake recovery and reconstruction.

scholarly journals Comparison of Approaches for Urban Functional Zones Classification Based on Multi-Source Geospatial Data: A Case Study in Yuzhong District, Chongqing, China

2019 ◽  
Vol 11 (3) ◽  
pp. 660 ◽  
Author(s):  
Kai Cao ◽  
Hui Guo ◽  
Ye Zhang
Keyword(s):  
Rapid Development ◽  
Geospatial Data ◽  
Classification Model ◽  
Gradient Boosting ◽  
Support Vector ◽  
Night Time ◽  
Heat Map ◽  
Extreme Gradient Boosting ◽  
Functional Zones

Accurate and timely classification and monitoring of urban functional zones prove to be significant in rapidly developing cities, to better understand the real and varying urban functions of cities to support urban planning and management. Many efforts have been undertaken to identify urban functional zones using various classification approaches and multi-source geospatial datasets. The complexity of this category of classification poses tremendous challenges to these studies especially in terms of classification accuracy, but on the opposite, the rapid development of machine learning technologies provides us with new opportunities. In this study, a set of commonly used urban functional zones classification approaches, including Multinomial Logistic Regression, K-Nearest Neighbors, Decision Tree, Support Vector Machine (SVM), and Random Forest, are examined and compared with the newly developed eXtreme Gradient Boosting (XGBoost) model, using the case study of Yuzhong District, Chongqing, China. The investigation is based on multi-variate geospatial data, including night-time imagery, geotagged Weibo data, points of interest (POI) from Gaode, and Baidu Heat Map. This study is the first endeavor of implementing the XGBoost model in the field of urban functional zones classification. The results suggest that the XGBoost classification model performed the best and was able to achieve an accuracy of 88.05%, which is significantly higher than the other commonly used approaches. In addition, the integration of night-time imagery, geotagged Weibo data, POI from Gaode, and Baidu Heat Map has also demonstrated their values for the classification of urban functional zones in this case study.

Monitoring urban expansion using time series of night-time light data: a case study in Wuhan, China

2017 ◽  
Vol 38 (21) ◽  
pp. 6110-6128 ◽  
Author(s):  
Xin Xin ◽  
Bin Liu ◽  
Kaichang Di ◽  
Zhe Zhu ◽  
Zhongyuan Zhao ◽  
...  
Keyword(s):  
Time Series ◽  
Urban Expansion ◽  
Night Time

Leakage estimation in water networks based on two categories of night-time users: a case study of a developing country network

2013 ◽  
Vol 14 (2) ◽  
pp. 329-336 ◽  
Author(s):  
P. K. Amoatey ◽  
R. Minke ◽  
H. Steinmetz
Keyword(s):  
Demographic Characteristics ◽  
Total Water ◽  
Night Time ◽  
Water Utility ◽  
Active Population ◽  
Water Closet ◽  
Minimum Night Flow ◽  
Social Habits ◽  
District Metered Area

The proportion of total water loss that is due to leakages and bursts in a district metered area in the Baifikrom supply network in the Central region of Ghana was investigated using the minimum night flow method. Legitimate customer night use was estimated specifically for the study area based on social habits, active population at night and demographic characteristics of two categories of night-time users identified – water closet users and ventilated improved pits users. It was estimated that 12% of the daily supply volume was lost through leakage indicating that apparent losses constitute 28%. This suggests that the water utility has to investigate the components of apparent losses and plan measures to reduce them in addition to reducing leakage.

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