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    <title>DSpace Collection:</title>
    <link>https://elibrary.khec.edu.np/handle/123456789/690</link>
    <description />
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        <rdf:li rdf:resource="https://elibrary.khec.edu.np/handle/123456789/696" />
        <rdf:li rdf:resource="https://elibrary.khec.edu.np/handle/123456789/695" />
        <rdf:li rdf:resource="https://elibrary.khec.edu.np/handle/123456789/694" />
        <rdf:li rdf:resource="https://elibrary.khec.edu.np/handle/123456789/693" />
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    <dc:date>2026-07-17T04:30:09Z</dc:date>
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  <item rdf:about="https://elibrary.khec.edu.np/handle/123456789/696">
    <title>LANDSLIDE SUSCEPTIBILITY ANALYSIS OF JUGAL RURAL MUNICIPALITY, SINDHUPALCHOK</title>
    <link>https://elibrary.khec.edu.np/handle/123456789/696</link>
    <description>Title: LANDSLIDE SUSCEPTIBILITY ANALYSIS OF JUGAL RURAL MUNICIPALITY, SINDHUPALCHOK
Authors: Pradhan, Prateek; Dahal, Bhim Kumar
Abstract: Hilly and mountainous areas of Nepal, with challenging terrain, young geology, and heavy monsoon rainfall, are susceptible&#xD;
to landslides and slope instability. To analyze and prepare landslide susceptibility maps, this study selects a typical hilly&#xD;
area, the Jugal Rural Municipality in Sindhupalchok district. Twelve factors contributing to landslides were considered,&#xD;
including slope, aspect, elevation, geology, land use, proximity to roads and drainage, plan curvature, profile curvature,&#xD;
NDVI (Normalized Difference Vegetation Index), soil type and rainfall. Moreover, 286 landslides were identified using&#xD;
high-resolution satellite imagery and field verification as the landslide inventory. These landslides were then randomly&#xD;
divided into two sets: 70% for training and 30% for validation. Bivariate statistical analysis was performed using factor&#xD;
maps and the landslide inventory map. Notably, the analysis revealed a Prediction Rate (PR) of 9.35 for ’Land use’, the&#xD;
highest among all factors considered. Since land use is a dynamic factor, we recommend conducting an analysis of land&#xD;
use changes and their impact on landslide susceptibility. Such an assessment would be invaluable during the planning and&#xD;
execution phases of development projects in Nepal’s disaster-prone regions.</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://elibrary.khec.edu.np/handle/123456789/695">
    <title>DISTRIBUTION NETWORK RECONFIGURATION USING GENETIC ALGORITHM FOR LOSS REDUCTION: A CASE STUDY OF KATUNJE FEEDER, BHAKTAPUR</title>
    <link>https://elibrary.khec.edu.np/handle/123456789/695</link>
    <description>Title: DISTRIBUTION NETWORK RECONFIGURATION USING GENETIC ALGORITHM FOR LOSS REDUCTION: A CASE STUDY OF KATUNJE FEEDER, BHAKTAPUR
Authors: Gwachha, Rakesh; Malla, Tanus Bikram; Bhattarai, Yogesh; Gautam, Rupesh
Abstract: The power distribution system has difficulties with regard to power loss and unacceptable voltage drops as a result of the&#xD;
rapidly expanding power system network, rising electrical energy consumption, and longer distances of power distribution.&#xD;
A typical strategy to address the issues with the distribution system is to perform distribution system reconfiguration. The&#xD;
study focuses on distribution feeder reconfiguration of the Katunje Feeder of Bhaktapur, Nepal where optimization problem&#xD;
is formulated to minimize the system active power loss and investment cost of the system. Genetic algorithm is employed&#xD;
in a co-simulation framework to solve the optimization problem where states of 26 different tie switches are to be altered&#xD;
to achieve the desired optimum results. Two cases are formulated: in case I active power loss is assigned more weight than&#xD;
investment cost whereas, in case II equal weights are assigned for active power loss and investment cost. The results showed&#xD;
the reduction in active power loss and investment cost for both the cases. Case I resulted in more active power loss reduction&#xD;
compared to case II, and case II resulted in more investment cost reduction compared to case I. From this, decision makers&#xD;
can obtain insights in adopting one of the cases for distribution feeder reconfiguration based on technical consideration&#xD;
(active power loss reduction) or economic consideration (investment cost reduction).</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://elibrary.khec.edu.np/handle/123456789/694">
    <title>FACTORS DETERMINING THE ADOPTION OF INDUCTION STOVE FOR HOUSEHOLD COOKING IN BHAKTAPUR</title>
    <link>https://elibrary.khec.edu.np/handle/123456789/694</link>
    <description>Title: FACTORS DETERMINING THE ADOPTION OF INDUCTION STOVE FOR HOUSEHOLD COOKING IN BHAKTAPUR
Authors: Bajracharya, Yogesh; Adhikari, Pujan; Sharma, Bishnu Prasad
Abstract: The current global warming trend is unequivocally the result of human activities and is proceeding at an unprecedented rate&#xD;
over the millennia. About 6.7 percent of global greenhouse gas emissions are caused by household cooking. It is essential&#xD;
to expand the use of clean fuels and technologies to reduce household emissions. Most households in urban areas use LPG&#xD;
for cooking purposes along with a gradual introduction of electric induction stoves. The main objective of this paper is to&#xD;
identify the factors determining the choice of induction stoves for household cooking. Primary data were collected from 300&#xD;
households of Bhaktapur and Madhyapur Thimi Municipalities in March, 2021. Binomial Logit regression was performed&#xD;
to examine the determinant of induction stove adoption by household. LPG is the primary source of cooking for household.&#xD;
Sixty seven percent of households use electricity partially for cooking purposes. Forty five percent of total households use&#xD;
an electric rice cooker and 27 percent use an induction stove. Twenty six percent of households do not know about induction&#xD;
stoves. The family’s education level, particularly the cooking member, is the primary determinant of adopting an induction&#xD;
stove. The probability of adoption of induction stoves increases with an increase in income. Families living in their own&#xD;
houses are more likely to use induction stoves than those living in rented houses.</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://elibrary.khec.edu.np/handle/123456789/693">
    <title>SITE SPECIFIC NON-LINEAR GROUND RESPONSE ANALYSIS AND SOIL STRUCTURE INTERACTION STUDY OF NEWLY CONSTRUCTED DHARAHARA TOWER</title>
    <link>https://elibrary.khec.edu.np/handle/123456789/693</link>
    <description>Title: SITE SPECIFIC NON-LINEAR GROUND RESPONSE ANALYSIS AND SOIL STRUCTURE INTERACTION STUDY OF NEWLY CONSTRUCTED DHARAHARA TOWER
Authors: Katuwal, Santosh; Bijukchhen, Subeg Man; Kawan, Chandra Kiran; Shilpakar, Anjali
Abstract: This study investigates the seismic performance of the recently reconstructed Dharahara tower, a historically significant&#xD;
monument in Nepal, that has experienced damage in past earthquakes and was completely destroyed in the recent Gorkha&#xD;
earthquake. Ground Response Analysis (GRA) and Soil-Structure Interaction (SSI) investigations are conducted to assess&#xD;
its structural behavior. GRA includes free field and structure-influenced analyses, with subsequent comparative assessment.&#xD;
Additionally, 3D non-linear finite element analysis is employed to derive equivalent spring constants representing soil and&#xD;
foundation characteristics, which are incorporated into the SSI analysis. These computed spring constants are used to model&#xD;
support conditions, allowing for an evaluation of the super-structural response. The study also employs non-linear dynamic&#xD;
analysis to compare structural responses between fix-based and spring-based models. The results indicate that the presence&#xD;
of the structure significantly influences surface wave motion amplification in GRA, resulting in peak ground accelerations&#xD;
(PGAs) that exhibit de-amplification in the free field and amplification in the presence of the structure. Furthermore, the&#xD;
introduction of an equivalent spring system in the soil-structure model changes the system’s vibration period and damping&#xD;
characteristics, leading to enhanced dynamic response compared to the fixed-base model.</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </item>
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