Showing papers by "National Defence University, Pakistan published in 2021"
TL;DR: In this paper, the performance of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC is presented, based on proton-proton collision data collected at a center-of-mass energy of 13 TeV and recorded in 2016-2018, corresponding to an integrated luminosity of 136 fb$^{-1}$.
Abstract: The performance is presented of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC. The reported results are based on proton-proton collision data collected at a center-of-mass energy of 13 TeV and recorded in 2016-2018, corresponding to an integrated luminosity of 136 fb$^{-1}$. Results obtained from lead-lead collision data collected at $\sqrt{s_\mathrm{NN}}=$ 5.02 TeV are also presented. Innovative techniques are used to reconstruct the electron and photon signals in the detector and to optimize the energy resolution. Events with electrons and photons in the final state are used to measure the energy resolution and energy scale uncertainty in the recorded events. The measured energy resolution for electrons produced in Z boson decays in proton-proton collision data ranges from 2 to 5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material. The energy scale in the same range of energies is measured with an uncertainty smaller than 0.1 (0.3)% in the barrel (endcap) region in proton-proton collisions and better than 1 (3)% in the barrel (endcap) region in heavy ion collisions. The timing resolution for electrons from Z boson decays with the full 2016-2018 proton-proton collision data set is measured to be 200 ps.
123 citations
TL;DR: This work developed a model that linked each and every service and specialty including A&E, and outpatient and inpatient services, with the aim of developing a linear optimization model to estimate the required bed capacity and staff needs of a mid-size hospital in England.
Abstract: The increasing pressures on the healthcare system in the UK are well documented. The solution lies in making best use of existing resources (e.g. beds), as additional funding is not available. Incr...
35 citations
TL;DR: In the tourism-reliant economies, policymakers have been saddled with the mandate to not only accelerate economic growth but also increase the living standards of domestic citizens as discussed by the authors, which has been proven to be difficult.
Abstract: Over the years, policymakers in tourism-reliant economies have been saddled with the mandate to not only accelerate economic growth but also increase the living standards of domestic citizens. Tour...
25 citations
TL;DR: The method of estimation and forecasting in intelligent decision support systems was developed and provides an increase in data processing efficiency at the level of 15–25% using additional advanced procedures.
Abstract: The method of estimation and forecasting in intelligent decision support systems was developed. The essence of the method is the analysis of the current state of the object and short-term forecasting of the object state. Objective and complete analysis is achieved by using improved fuzzy temporal models of the object state and an improved procedure for processing the original data under uncertainty. Also, the possibility of objective and complete analysis is achieved through an improved procedure for forecasting the object state and an improved procedure for learning evolving artificial neural networks. The concepts of fuzzy cognitive model are related by subsets of influence fuzzy degrees, arranged in chronological order, taking into account the time lags of the corresponding components of the multidimensional time series. The method is based on fuzzy temporal models and evolving artificial neural networks. The peculiarity of the method is the possibility of taking into account the type of a priori uncertainty about the object state (full awareness of the object state, partial awareness of the object state and complete uncertainty about the object state). The possibility to clarify information about the object state is achieved using an advanced training procedure. It consists in training the synaptic weights of the artificial neural network, the type and parameters of the membership function, as well as the architecture of individual elements and the architecture of the artificial neural network as a whole. The object state forecasting procedure allows conducting multidimensional analysis, consideration, and indirect influence of all components of a multidimensional time series with their different time shifts relative to each other under uncertainty. The method provides an increase in data processing efficiency at the level of 15–25% using additional advanced procedures.
21 citations
TL;DR: This work states that antimicrobial resistance is a growing problem worldwide, leading to increased morbidity, mortality and costs, with the overall costs of AMR typically exceeding the costs of the different antibiotics prescribed and dispensed.
Abstract: Antimicrobial resistance (AMR) is a growing problem worldwide, leading to increased morbidity, mortality and costs, with the overall costs of AMR typically exceeding the costs of the different antibiotics prescribed and dispensed. AMR is particularly important in lower- and middle-income countries (LMICs) as these countries have the highest burden of infectious diseases with growing rates of resistant organisms.
20 citations
01 Jan 2021
19 citations
Albert M. Sirunyan, Armen Tumasyan, Wolfgang Adam1, Janik Walter Andrejkovic1 +2462 more•Institutions (218)
TL;DR: In this paper, a search for lepton-flavor violating decays of the Higgs boson to μ τ and e τ was conducted at the LHC in proton-proton collisions at a center-of-mass energy of 13.TeV.
Abstract: A search is presented for lepton-flavor violating decays of the Higgs boson to μ τ and e τ . The dataset corresponds to an integrated luminosity of 137 fb - 1 collected at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV. No significant excess has been found, and the results are interpreted in terms of upper limits on lepton-flavor violating branching fractions of the Higgs boson. The observed (expected) upper limits on the branching fractions are, respectively, B ( H → μ τ ) 0.15 ( 0.15 ) % and B ( H → e τ ) 0.22 ( 0.16 ) % at 95% confidence level.
17 citations
TL;DR: A knowledge-based RL method, which uses domain knowledge to compress the state space that the agent needs to explore and then improve the algorithm convergence speed, and incorporates the performance indicators of the receiver and the subjective value of the task into the design of the reward function.
Abstract: The unmanned aerial vehicles (UAVs) networks are very vulnerable to smart jammers that can choose their jamming strategy based on the ongoing channel state accordingly. Although reinforcement learning (RL) algorithms can give UAV networks the ability to make intelligent decisions, the high-dimensional state space makes it difficult for algorithms to converge quickly. This article proposes a knowledge-based RL method, which uses domain knowledge to compress the state space that the agent needs to explore and then improve the algorithm convergence speed. Specifically, we use the inertial law of the aircraft and the law of signal attenuation in free space to guide the highly efficient exploration of the UAVs in the state space. We incorporate the performance indicators of the receiver and the subjective value of the task into the design of the reward function, and build a virtual environment for pretraining to accelerate the convergence of anti-jamming decisions. In addition, the algorithm proposed is completely based on observable data, which is more realistic than those studies that assume the position or the channel strategy of the jammer. The simulation shows that the proposed algorithm can outperform the benchmarks of model-free RL algorithm in terms of converge speed and averaged reward.
14 citations
TL;DR: In this article, the fundamental working principles of sensor specifications of the analytes detection techniques relying on carbon nanotubes (CNTs)-based NH3 gas sensors have been reviewed, and the future outlook for the development of highperformance NH3 sensors was presented.
Abstract: A sensitive, selective and reliable sensing techniques for ammonia (NH3) gas detection have been highly demanded since NH3 is both a commonly utilized gas in various industrial sectors, and considered as a toxic and caustic agent that can threat human health and environment at a certain level of concentrations. In this article, a brief on the fundamental working principles of sensor specifications of the analytes detection techniques relying has been reviewed. Furthermore, the mechanism of NH3 detection and recent progress in the development of advanced carbon nanotubes (CNTs)-based NH3 gas sensors, and their performance towards the hybridization with the conductive polymers wascomprehensively reviewed and summarized. Finally, the future outlook for the development of highperformanceNH3 sensors was presented in the conclusions part.
14 citations
TL;DR: In this article, the microstructures of sound and fractured products showed that the convex surface of the fractured product had coarser grains compared to that of the sound product, which indicates that the coarse grains led to premature failure by fatigue cracking.
14 citations
TL;DR: In this article, the authors considered a multi-purpose two-level location problem introduced by Karatas (2020) to improve the coverage performance of heterogeneous sensor networks, which basically seeks to determine the best location scheme of sensors of different types and characteristics in a belt-shaped boundary area.
01 Nov 2021
TL;DR: This study presents a real-world multi-objective facility location analytics model for determining the number and locations of Temporary Emergency Service Centers for a regional natural gas distribution company in Turkey that employs an integrated and iterative branch and bound algorithm with goal programming.
Abstract: This study presents a real-world multi-objective facility location analytics model for determining the number and locations of Temporary Emergency Service Centers (TESCs) for a regional natural gas distribution company in Turkey. These centers are set up temporarily after natural disasters (i.e., earthquakes, floods, storms) in response to emergencies like gas leaks and distribution problems. The proposed model considers three objectives, including p-median, maximal coverage, and p-center to minimize average and maximum transfer time while accommodating as many victims as possible within predetermined ranges. The proposed method uses the ITER-FLOC (Iterative Facility Location) algorithm to solve the TESC location problem. The proposed model employs an integrated and iterative branch and bound algorithm with goal programming. The solution approach provides decision-makers with a set of Pareto optimal solutions and a unique compromise solution for all objectives incorporated in the decision analytics model.
TL;DR: The first measurement of the dependence of lead-lead production on the multiplicity of neutrons emitted very close to the beam direction in ultra-peripheral heavy ion collisions is reported in this paper.
Abstract: The first measurement of the dependence of $\gamma\gamma \to \mu^{+}\mu^{-}$ production on the multiplicity of neutrons emitted very close to the beam direction in ultraperipheral heavy ion collisions is reported. Data for lead-lead interactions at $\sqrt{s_\mathrm{NN}} =$ 5.02 TeV, with an integrated luminosity of approximately 1.5 nb$^{-1}$, were collected using the CMS detector at the LHC. The azimuthal correlations between the two muons in the invariant mass region 8 $\lt m_{\mu\mu} \lt$ 60 GeV are extracted for events including zero, one, or at least two neutrons detected in the forward pseudorapidity range $|\eta| \lt$ 8.3. The back-to-back correlation structure from leading-order photon-photon scattering is found to be significantly broader for events with a larger number of emitted neutrons from each nucleus, corresponding to interactions with a smaller impact parameter. This observation provides a data-driven demonstration that the average transverse momentum of photons emitted from relativistic heavy ions has an impact parameter dependence. These results provide new constraints on models of photon-induced interactions in ultraperipheral collisions. They also provide a baseline to search for possible final-state effects on lepton pairs caused by traversing a quark-gluon plasma produced in hadronic heavy ion collisions.
TL;DR: In this article, a formalized model of an integrated national security system is proposed, based on the principles of resilience of regional security parameters of all regions of Ukraine and a resource-oriented approach to the transition of the existing state-of-security to the desired state.
Abstract: The purpose of this study is theoretical and methodological substantiation, deepening of conceptual provisions and development of scientific and practical recommendations for the formation of an integrated sector of national security and defense based on the principles of national resilience. The relevance of this study is due to the need to build national resilience to address the main problems of national security of Ukraine. The main components of national security and resilience development of the country on the basis of global indices are considered, the main patterns and key problems of national security of Ukraine are highlighted. Studies have found, which is a condition for providing national security is the formation of an appropriate level of internal resilience of the state, the basis of which is economic resilience, the rule of law, modern infrastructure, education and medicine. It is established that Ukraine is characterized by a low level of management in the public administration system, a high level of corruption, low efficiency of government decisions, non-compliance with current legislation in various spheres of life. it is proved that it is necessary for the formation of an integral sector of national security and defense a balanced combination of the capabilities of the main elements of the national security system and the objects of national resilience. Priority areas for building national resilience have been identified for Ukraine: creation of a multilevel risk assessment system; improving strategic planning, analysis and crisis management; developing the resilience potential of local communities and regions. A formalized model of an integrated national security system is proposed, based on the principles of resilience of regional security parameters of all regions of Ukraine and a resource-oriented approach to the transition of the existing state of regional security to the desired state.
DOI•
10 Apr 2021
TL;DR: A developed method to determine the signals of the means of covert receipt of information by the instantaneous deviation of the parameters of random signals based on determining the function of a sample of signals of a given radio range.
Abstract: The article presents a developed method for determining random radio signals. Random signals can be signals from hidden means of obtaining information. The signal is considered as a random process. The description of such signals is based on probability theory and the theory of random functions. In the practice of analysis of random radio signals, static methods based on the theory of stationary random functions have become widespread. The existing models of a stationary random process are not adequate for a large number of random processes, especially for processes that are dynamic in nature and are observed during a finite time interval. The developed method allows to detect signals from hidden means of obtaining information with greater efficiency. The novelty of the method is to determine the deviation of the main parameters of the signals from the function of the sample. The method is based on determining the function of a sample of signals of a given radio range. The function of the sample is obtained as the implementation of the smoothing function of a random process, by the method of least squares using the principle of sliding smoothing. It is proposed to determine the signals of the means of covert receipt of information by the instantaneous deviation of the parameters of random signals. To determine the signals of the means of covert obtaining information, it is proposed to determine the deviation of the amplitude of the random signals from the amplitude of the signals of the sample function, then, if necessary, to determine the deviation of the signal phases. So, the effectiveness of the method is achieved by determining two parameters of the deviation of the amplitude and phase. This makes it possible to detect random signals with a higher probability. Determining the function of the sample of the required radio band significantly increases the probability of determining random signals, by reducing the scanning time of a given radio band, by excluding known signals from the additional software analysis of a given radio band.
TL;DR: In this article, the concept of building security systems based on a variety of models describing various CIF functioning aspects is presented, which can be used for all CIFs, which makes it possible to unify preventive measures and increase the security level.
Abstract: To effectively protect critical infrastructure facilities (CIF), it is important to understand the focus of cybersecurity efforts. The concept of building security systems based on a variety of models describing various CIF functioning aspects is presented.
The development of the concept is presented as a sequence of solving the following tasks. The basic concepts related to cyberattacks on CIF were determined, which make it possible to outline the boundaries of the problem and determine the level of formalization of the modeling processes. The proposed threat model takes into account possible synergistic/emergent features of the integration of modern target threats and their hybridity. A unified threat base that does not depend on CIF was formed. The concept of modeling the CIF security system was developed based on models of various classes and levels. A method to determine attacker's capabilities was developed. A concept for assessing the CIF security was developed, which allows forming a unified threat base, assessing the signs of their synergy and hybridity, identifying critical CIF points, determining compliance with regulatory requirements and the state of the security system. The mathematical tool and a variety of basic models of the concept can be used for all CIFs, which makes it possible to unify preventive measures and increase the security level. It is proposed to use post-quantum cryptography algorithms on crypto-code structures to provide security services. The proposed mechanisms provide the required stability (230–235 group operations), the rate of cryptographic transformation is comparable to block-symmetric ciphers (BSC) and reliability (Perr 10–9–10–12)
TL;DR: In this article, the causal relationship between loan guarantee and firm performance through a moderate role of corporate social responsibility (CSR) was examined, and 350 non-financial firms were used.
Abstract: This study examines the causal relationship between loan guarantee and firm’s performance through a moderate role of corporate social responsibility (CSR). This study used 350 non-financial firms o...
TL;DR: In this paper, a joint radio resource allocation and offloading decision optimization problem is presented under the explicit consideration of capacity constraints of fronthaul and backhaul links, and the original problem is divided into several sub-problems and addressed accordingly to find the optimal solution.
Abstract: Edge computing is able to provide proximity solutions for the future wireless network to accommodate different types of devices with various computing service demands. Meanwhile, in order to provide ubiquitous connectivities to massive devices over a relatively large area, densely deploying remote radio head (RRH) is considered as a cost-efficient solution. In this work, we consider a vertical and heterogeneous multi-access edge computing system. In the system, the RRHs are deployed for providing wireless access for the users and the edge node with computing capability can process the computation requests from the users. With the objective to minimize the total energy consumption for processing the computation task, a joint radio resource allocation and offloading decision optimization problem is presented under the explicit consideration of capacity constraints of fronthaul and backhaul links. Due to the non-convexity of the formulated problem, we divide the original problem into several sub-problems and address them accordingly to find the optimal solution. Extensive simulation studies are conducted and illustrated to evaluate the advantages of the proposed scheme.
TL;DR: In this paper, the moderating effect of transformational leadership style on green HRM practices with employee environmental commitment (EEC) and green service recovery performance (GSRP) in the hotel industry is analyzed.
Abstract: Greening of the hotel industry can be achieved through employees' green service recovery performance (GSRP) of employees to determine environment-friendly or unfriendly issues driven by environmental commitment and green human resource management (HRM) practices. This article attempts to resolve the research problem by analyzing the moderating effect of transformational leadership style on green HRM practices with employee environmental commitment (EEC) and GSRP in the hotel industry. The present study recruited 489 front-line employees (FLE) and their 24 direct managers. The research results reveal that environmental commitment of employee mediates the relationship between green HRM practices and GSRP. Moreover, the transformational leadership style moderates the relationship between green HRM practices and employee environmental commitment in the hotel industry. The study has critical insights and implications for hotel managers and theory.
TL;DR: In this article, the authors analyzed the impact of decentralization on poverty alleviation in Pakistan and concluded that the government should provide autonomy to the provinces in Pakistan, as the central government alone cannot tackle and understand the local problems.
Abstract: According to the World Bank, the COVID-19 pandemic is going to exacerbate the situation of poverty. It predicts that the poverty rate could rise by 0.3 to 0.7 percentage points, to around 9% in 2020. This study aims at providing insights into poverty in Pakistan and analyzes the impact of fiscal decentralization on poverty alleviation. According to the Asian Development Bank, Pakistan houses roughly 210 million poor people. This study follows the data between 1975 and 2018, applying a unit root test to station this data. The statistical models are developed with a view to the autoregressive distributed lag co-integration technique for estimation. The findings of the study conclude that fiscal decentralization has a direct and indirect impact in eradicating poverty. We thus conclude that the government should provide autonomy to the provinces in Pakistan, as the central government alone cannot tackle and understand the local problems. Therefore, the government must adopt a fiscal decentralization policy. This study further suggests that the government should effectively utilize the progressive taxation strategy to maximize revenues and cater to poverty alleviation. © 2021 Policy Studies Organization.
TL;DR: AA6082-T6 alloy was joined by friction stir spot welding using five different pin profiles, namely cylindrical, conical, triangular, hexagonal, and hexagonal with two grooves.
Abstract: AA6082-T6 alloy was joined by friction stir spot welding using five different pin profiles, namely cylindrical, conical, triangular, hexagonal, and cylindrical with two grooves, at different dwell ...
TL;DR: The objective was to establish an experimental procedure and show direct results that can be used as a guide for clinical practice in the treatment of central giant cell granuloma and its complications.
Abstract: In our previous editorial, we discussed that antimicrobial resistance (AMR) is a growing problem world-wide increasing morbidity, mortality and costs1-3. This needs to be urgently addressed with the World Bank recently documenting that the costs associated with AMR could exceed US$1 trillion annually after 2030, and potentially up to US$3.4 trillion annually, unless activities are instigated across countries to improve the prescribing and dispensing of antibiotics4. This is equivalent to 3.8% of annual Gross Domestic Product (GDP)4, with the costs associated with AMR typically greatly exceeding the costs of any antibiotic prescribed or dispensed5. We are aware that mortality rates from AMR are likely to be greatest among low- and middle-income countries (LMICs), including Asian countries such as Bangladesh by 2050, which is a concern going forward6,7. This builds on considerable resistance already to commonly prescribed antibiotics among LMICs including Bangladesh, with AMR rates continuing to rise2,8-15 enhanced by appreciable usage in animal and food production alongside humans16-18. In their recent study, Ara et al. (2021) found high rates of resistance to colistin as well as amoxicillin/clavulanic acid and the cephalosporins in isolates of women attending out-patient clinics for urinary tract infections9. This needs to be urgently addressed.
TL;DR: The analysis of coronavirus-themed phishing emails revealed a shift in the modus operandi of phishers, and Authority, liking and commitment emerged as the most common influence methods.
Abstract: This empirical study is an exploration of the influence methods, fear appeals, and urgency cues applied by phishers to trick or coerce users to follow instructions presented in coronavirus-themed p...
TL;DR: In this paper, changes in microstructure, hardness and wear performance of titanium-zirconium-molybdenum (TZM) alloys produced by mechanical alloying method with the addition of different amounts of titanium (Ti) were investigated.
Abstract: In this study, changes in microstructure, hardness and wear performance of titanium–zirconium–molybdenum (TZM) alloys produced by mechanical alloying method with the addition of different amounts of titanium (Ti) were investigated. Mechanically alloyed powders were sintered at 1300 °C for 4 h under 10–6 mbar vacuum environment. The produced alloys were characterized by scanning electron microscope (SEM + EDS), X-ray diffraction, grain size distribution, hardness and density measurements. In the wear tests, three different loads and five different sliding distances were used. Results showed that the produced TZM alloys were porous, and the pores in the alloys containing 0.40% and 0.45% Ti were generally located on the grain boundaries. In alloys containing 0.50% Ti, inside the grain the pore sizes increase, while in the alloy containing 0.55% Ti, the pore sizes in grain boundary decrease. Grain size distribution results show that as the Ti content increased, the amount of grain size over 6 µm decreased and smaller than 6 µm increased. Hardness and density results show that while the hardness of TZM alloys produced increases depending on Ti content, their density decreases. The highest hardness was obtained in the TZM alloy containing 0.55% Ti, while the lowest density was obtained in the same alloy. Wear test results show that the lowest weight loss was obtained in TZM alloy containing the highest amount of Ti (0.55%) under all loads.
01 Jul 2021
TL;DR: In this paper, the authors assessed the moderating role of personal attitude in the relationship between entrepreneurial knowledge and entrepreneurial intentions among management science students in Pakistan and reported that personal attitude has a significant moderation role and strengthening the relationship of entrepreneurial knowledge with entrepreneurial intention.
Abstract: This study assesses the moderating role of personal attitude in the relationship between entrepreneurial knowledge and entrepreneurial intentions among management science students in Pakistan. Convenience sampling techniques were implied, and self-administrative closed-ended questionnaires were used to collect primary data from the sample of 331 enrolled students in the department of management science at different universities of Pakistan. The data were analyzed using the multiple regression model to test the study hypothesis. Findings of the study revealed that entrepreneurial knowledge positively and significantly influences entrepreneurial intentions. Furthermore, this study also reported that personal attitude has a significant moderating role and strengthening the relationship between entrepreneurial knowledge and entrepreneurial intention. Theoretically, this paper confirms the importance of entrepreneurial intention. Practically, it suggested that universities should pay attention to designing their curriculum based on entrepreneurial knowledge, fostering a positive attitude that can shape the entrepreneurial intentions of students. It can ultimately help to force innovations in the marketplace and create job opportunities in the economy.
TL;DR: In this article, the authors identify economic and technological constraints as the primary factors constraining the development of a space program and identify several macro-level challenges that need focused attention from policy makers and space programme managers for ensuring the development and sustainability of a viable space program.
TL;DR: The developed fuzzy inference system will remove the ambiguity of information security expertise in the course of choosing approaches to formalization and the model of synergistic management of actors’ interaction in the conditions of incomplete information and ambiguous assessment of the state information security threat in social networking services.
Abstract: The article describes a decision support system based on fuzzy inference aimed to automate the procedure of choosing a model of formalizing the interaction between actors in virtual communities of social networking services and synergistic management of such processes. The developed system aims to increase the effectiveness of counteracting threats to information security of the state in social networking services. The mathematical apparatus of the fuzzy set theory and the Mamdani algorithm are the basis for the functioning of the decision support system. The usage of the developed fuzzy inference system will remove the ambiguity of information security expertise in the course of choosing approaches to formalization and the model of synergistic management of actors’ interaction in the conditions of incomplete information and ambiguous assessment of the state information security threat in social networking services.
TL;DR: In this article, the authors explore the effects of information technology on the performance of a business in a dynamic market environment, where information technology enables firms to obtain knowledge they need to achieve superior performance.
Abstract: In today’s dynamic market environment, information technology (IT) enables firms to obtain knowledge they need to achieve superior performance. To this end, the present study explores the effects o...
TL;DR: In this article, the use of a polyester fabric produced from microfibers as a siding material for construction industry was investigated, and an ultraviolet (UV) absorber was applied to the fabric.
Abstract: In this study, the use of a polyester fabric produced from microfibers as a siding material for construction industry was investigated. In this context, an ultraviolet (UV) absorber was applied to ...
TL;DR: In this article, the energy system of a chemical tanker ship was analyzed and then modeled by using the long-range energy alternatives planning system, a widely used platform for energy policy analysis and climate change mitigation assessment, including a comprehensive energy flow diagram.
Abstract: Maritime transportation has been a cost-effective option among other transport modes. Meanwhile, this demand has been increasing day by day because of the expanding global economy. The ships are one of the most important transport and trade vehicles in the world; 90% of the world trade is carried out by maritime transport, and this sector plays a crucial role in climate change and global warming because it is one of the key sectors leading to emissions of carbon dioxide, the main greenhouse gas (GHG). In other sectors that lead to CO2 emissions, i.e., energy production, manufacturing industry, and heating in residences, energy efficiency has been improved and emissions have been reduced significantly. However, there has been no net reduction in the transport sector; total CO2 emissions have also increased because of the continuous increase in freight and passenger traffic, although efficiency has increased. Increasing the energy efficiency of a ship allows for fuel consumption reduction and GHG emissions. In this study, the energy system of a chemical tanker ship was analyzed and then modeled by using the long-range energy alternatives planning system, a widely used platform for energy policy analysis and climate change mitigation assessment, including a comprehensive energy flow diagram, namely, reference energy system. A base scenario was developed, and the ship’s energy system was convenient to be analyzed and evaluated in terms of technical, economic, and environmental aspects, including low-emission development strategies, to comply with marine engine regulations of the International Maritime Organization.