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Higher rates of income inequality are correlated with lower average well-being across different domains (such as health, financial security, friendship etc.) across nations. It is unclear, however, whether this pattern is driven by income differences between people or if places also play a role. In this paper, I test this by constructing a Se- nian Capability Index of well-being and then testing the relative role of personal and place-based prosperity on its domains using linked individual-area data. I find that while personal income has the strongest link to well-being domains, places also also have a significant, non-uniform, association as well. These effects differ between the labour market and neighbourhood level spatial scales. Local labour market prosperity gives its residents higher potential incomes and is associated with greater financial se- curity and more friends. Moving to a more prosperous labour market also indirectly improves well-being by increasing potential incomes. Neighbourhood prosperity is as- sociated with greater overall well-being, physical security, and a lower probability of death. These results suggest that policies aimed at improving personal and place-based characteristics are needed to create a “good life” for all citizens.

Noise pollution has been recognized as one of the most vital environmental pollutions that affecting urban area’s quality of life. Sound levels at different points of the study area have been recorded and presented spatially by geostatistical analysis. A comparison has been made between the study area data in 2019 and that of 2021. In 2021 the noise level was significantly higher despite the Covid 19 pandemic. The comparative study showed that the noise level of the study area in 2021increased significantly. Noise level data in the sample points of the study area on Friday (holiday) were also collected and found that it was higher than that of even working days, especially in the evening. J. Asiat. Soc. Bangladesh, Sci. 47(2): 99-108, December 2021

The study assessed the Effects of Discipline on Staff Performance in Local Government. The study was conducted in Giwa Local Government Area, Kaduna State. The study is a qualitative research method. Four research objectives were stated with four correspondent research questions and three assumptions. The instrument used for collecting data for the study was focus group discussion. Data were collected from respondents drawn from Giwa Local Government Area. Data collected were analyzed qualitatively. The study revealed that lack of discipline in the Local Government is sine qua non to the failures in the achievement of the desire, designed goals and objectives of Local Government and as such noted that Giwa Local Government should see discipline as an integral part of staff performance. The first finding showed that, Kaduna State Government through the adaptation of APER (Annual Performance and Evaluation Reports) has conditioned and discipline the staff as those discipline are partially promoted. The study also revealed that discipline has contributed to the development of Giwa Local Government as such recommends that certain incentives should be provided to energize the commitment of the disciplined staff so as to satisfactorily perform their assigned jobs in the Local Government Area.

This paper presents an innovative technique of traffic management on a route divided into fixed block distances for trains equipped with a continuous area data transmission system that ensures information exchange between a train and a control center. The originality of the technique is focused on the optimization of the following train’s speed profile in terms of energy consumption under the need to maintain a minimum distance to the preceding train and to assume the smooth running of the following train, using elements of fixed and mobile block distance methods. The obtained results are an answer to the question of whether it is possible to obtain a smoother movement of the train and savings in mechanical energy consumption if the speed profile of this train is adjusted to the conditions before the train, such as information about the speed of the preceding train.

In-depth mining and analysis of electricity data in low-voltage area are essential for the further intelligent development of power grids. However, in the actual data collection and measurement of low-voltage area, there will be missing data, and complete electricity data cannot be obtained. To obtain complete power data, this paper proposes a low-voltage station area missing data complement model based on joint matrix decomposition. First, we analyse the characteristics of the low-pressure station data. Then, a model that comprehensively considers the characteristics of the low-voltage station area data is proposed, which includes three parts: the construction of a low-voltage station area data tensor, the joint matrix decomposition, and the completion of the missing data, and it is named LPZ. After that, the CIM learning algorithm proposed in this paper is used to iteratively solve the model to obtain the completed data. Finally, the method proposed in this paper is used to complement the two situations of random loss and all-day loss of real current data in a low-voltage station area and compared with the traditional complement method. The experimental results show that this method is not only effective but also that the completion effect is better than that of other completion methods.

The Strategic Areas of Teluk Bima and Teluk Saleh on Sumbawa Island have potential natural resources for regional economic development. Through the determination of the Teluk Bima and Teluk Saleh areas as National Strategic Areas, it is expected that economic growth in this region will develop significantly, so that regulations are needed from the aspects of planning, utilization and control of space to support various infrastructure activities and other sector activities in the context of realizing a safe, comfortable space, productive and sustainable. This study aims to analyze the suitability of space as a national strategic area. Data was collected through library research and searching for data and information on institutions related to the FGD approach. Space suitability analysis using Geographic Information System (GIS) approach. The results show that the Teluk Bima Bay and Teluk Saleh area (called Bima and Sumbawa Andalan) is worthy of being a national strategic area, with the leading sectors of tourism, industry and fisheries, so that it is important to prepare the Spatial Planning of the Strategic area. 

Abstract This research work focused mainly on early prediction of destination and emergency-oriented procedure to recognize trajectory patterns from intelligent sensor devices by analyzing GPS data. As an option in contrast to the customary two essential methodologies with direction following that limit the hopefuls regarding the excursion advance, and Next Place Prediction that surmises the future area of a client from client propensities, we proposed here another model dependent on both ordinary models. The benefit of this research work is, it definitely limits the goal hopefuls productively at the beginning time of a trek, inferable from the staying data got from the NPP approach. In spite of the straightforwardness of our model, the proposed strategy gives enhanced execution contrasted with traditional methodologies dependent on the test results utilizing the GPS logs of 1,546 genuine clients from the business administrations. To assess the proposed strategy and techniques, consecutive direction informational indexes originate from the GeoLife venture alongside human circulation logs from cell phone application EMAPP are used. Goal expectation (e.g., anticipating a future area) can be connected to different down to earth applications. A case of goal expectation is customized GIS administrations, which are relied upon to give backup courses of action to empower clients to maintain a strategic distance from clogged streets in future applications. At long last, we show the capability of managing area data for advancing crisis the executives.

Sungai Anak Jaya Setia 1 yang terletak di Kabupaten Bungo sering mengalami banjir. Saluran drainase yang ada masih berupa saluran drainase alami. Tujuan utama dalam penelitian ini adalah menganalisa perhitungan saluran drainase di daerah Sungai Anak Jaya Setia 1 dengan debit banjir rencana 5 tahun untuk saluran sekunder, merencanakan Storage  sebagai pembuangan akhir dari saluran drainase, Membandingkan menggunakan Storage sebagai membuangan akhir dan tanpa Stoarge. Data-data yang digunakan pada penelitian ini adalah  peta tata guna lahan untuk penentuan persentase impervious area, data hujan. Seri data hujan yang digunakan merupakan data hujan jam-jaman. Maka dari itu perlunya melakukan modifikasi pada data curah hujan, penentuan distribusi hujan jam-jaman dilakukan dengan mengubah lengkung Intensitas-Durasi-Frekuensi (IDF)  untuk periode ulang 5 tahun menjadi hyetograph hujan rencana dengan menggunakan Alternating Block Method (ABM). Setelah semua parameter input EPA SWMM 5.1 ditentukan dan diinputkan sehingga simulasi dapat dilakukan. Kualitas simulasi cukup baik apabila continuity error untuk limpasan permukaan dan penelusuran aliran < 10%. Simulasi yang dilakukan pada penelitian ini dibagi menjadi 2 skenario. Dari 2 skenario yang dilakukan jumlah  titik banjir pada skenario 1 berjumlah 4 titik yang berada pada Junc 4, Junc 11, Junc 15 dan Junc 16. Sedangkan pada skenario 2 dengan di tambakannya Storage sebagai tempat penampungan air sementara sebelum di alirkan ke Outall terdapat 2 titik banjir yaitu pada Junc 12 dan Storage 2. Hal ini menunjukkan bahwa menambahkan storage sebagai tempat pembuangan cukup membantu mengurangi titik banjir.

This research aims to determine factors that affect the frequency of tourists visits, economic impacts generated, and the positive and negative externality impacts to community surrounding of Muncak Teropong Laut Agrotourism area.  Data collection was conducted from November 2018 to February 2019.  Respondents were 80 visitors and 7 people from surrounding community.  Factors affecting the frequency of visits were analyzed using multiple linear regression whereas economic impact analysis and externalities are explained by qualitative descriptive.  The study shows that factors affecting the number of visits to Muncak Teropong Laut are age, education, income, travel expenses, time of visit, and facilities.  Economic impact of the community surrounding Muncak Teropong Laut is increased in business activity such as small vendors that gain IDR750,000.00 to IDR1,000,000.00 per month.  Other positive externality is absorption of labour.  Negative externalities include cost of road repairs and medical expenses.Key words: agrotourism, community economics, externalities

Abstract Evapotranspiration in the hydrologic cycle realizes the energy and water transport in the atmosphere. Evapotranspiration differences concerning land-use types provide data for studying the evapotranspiration of river basins. To investigate the evapotranspiration in the reservoir under artificial regulation, we selected the river basin in the Sanmenxia Reservoir as the study area. Data sources are two-period Landsat8 OIL_TIRS remote sensing images during the growing season of wetland plants. Based on meteorological data in this river basin, we investigated the evapotranspiration differences of different land-use types using the Surface Energy Balance Algorithm for Land model. The FAO Penman–Monteith formula verified the remote sensing inversion results. Analysis shows that significant differences were manifested between wetland and non-wetland landscapes in evapotranspiration among different land-use types. Non-wetland landscapes accounted for about 97.23% of the river basin's total area, but their daily average evapotranspiration was only 7.26 mm/d. Those of wetland landscapes were 2.77% and 12.17 mm/d. In this river basin, the differences between the wetland and non-wetland landscapes in evapotranspiration are mainly associated with plant diversity, vegetation coverage and surface temperature (beyond other driving factors like meteorological and hydrological solar radiation factors).