• 제목/요약/키워드: Nature-Based Solutions

검색결과 141건 처리시간 0.027초

Pulse pile-up correction by auto-regression on linear operations (ARLO) method: A comparison with integration-based algorithms

  • Mohammad-Reza Mohammadian-Behbahani
    • Nuclear Engineering and Technology
    • /
    • 제56권9호
    • /
    • pp.3904-3913
    • /
    • 2024
  • Radiation detection at high count rate suffers from pulse pile-up, where the counting data and energy information of the system are affected by the overlapping of the system output pulses. There exist various pile-up correction strategies to recover the true information of the pulses, among which pulse-tail extrapolation is a well-known method focused on in this study. Present work aims to use a mono-exponential model for extrapolating the pileup-distorted trailing edge of a pulse, to provide a reference line for calculating the true amplitude of its subsequent overlapping pulse. To this goal, the auto-regression on linear operations (ARLO) method is examined and compared with two integration-based methods (the Foss and the Matheson methods), as well as the non-linear least squares (NLS) method. Despite a higher sensitivity to noise, the ARLO method was able to provide a simple, non-iterative solution with a performance over 400 times faster than the NLS algorithm, according to the analysis of a high count rate set of experimental pulses from a NaI(Tl) detection system. Foss and Matheson methods also provided solutions reasonably faster than NLS (but not surpassing ARLO), performing exactly the same as each other with results very close to NLS, benefiting from their non-iterative nature.

나노스케일 시스템을 위한 SiNWFET 기술 기반 전가산기의 성능 평가 (Performance Evaluation of Full Adders Using SiNWFET Technology for Nanoscale Systems)

  • 최성훈;박준용;송한정
    • 한국산업융합학회 논문집
    • /
    • 제27권6_2호
    • /
    • pp.1545-1551
    • /
    • 2024
  • The development of ultra-large arithmetic circuits and systems demands innovative solutions beyond conventional complementary metal-oxide-semiconductor (CMOS) technology to enable high-performance digital circuits for nanoscale supercomputing applications. This paper presents a detailed performance analysis of four Full Adders, designed using emerging technologies that utilize between 14 and 28 transistors, each employing distinct logic styles to offer comprehensive insights into their electrical performance. Among the evaluated designs, the Full Adder based on two-dimensional field-effect transistor (2DFET) technology demonstrates the slowest operational speed due to its limited on-current. This limitation arises from the semi-metallic nature of monolayer graphene in 2DFET, which increases leakage current and reduces the on-current. On the other hand, the Full Adder utilizing carbon nanotube field-effect transistor (CNTFET) exhibits a significantly lower delay compared to the 2DFET-based counterpart. Meanwhile, silicon-based Full Adders employing FinFET (Fin Field-Effect Transistor) and silicon nanowire field-effect transistor (SiNWFET) technologies achieve optimized performance in terms of delay, power consumption, and energy efficiency. All simulations were carried out using the HSPICE tool.

Assessment of Seasonal Variations in the Treatment Efficiency of Constructed Wetlands

  • Reyes, Nash Jett DG.;Geronimo, Franz Kevin F.;Choi, Hyeseon;Jeon, Minsu;Kim, Lee-Hyung
    • 한국수자원학회:학술대회논문집
    • /
    • 한국수자원학회 2020년도 학술발표회
    • /
    • pp.231-231
    • /
    • 2020
  • Unlike conventional treatment technologies, the performance of nature-based facilities were susceptible to seasonal changes and climatological variabilities. This study evaluated the effects of seasonal variables on the treatment performance of constructed wetlands (CWs). Two CWs treating runoff and discharge from agricultural and livestock areas were monitored to determine the efficiency of the systems in reducing particulates, organics, and nutrients in the influent. For all four seasons, the mean effluent suspended solids concentration in the agricultural CW (ACW) increased by -2% to -39%. The occurrence of algal blooms in the system during summer and fall seasons resulted to the greatest increase in the amount of suspended materials in the overlying water. unlike ACW, the livestock CW (LCW) performed efficiently throughout the year, with mean suspended solids removal amounting to 61% to 68%. Algal blooms were still present in LCW seasonally; however, the constant inflow in the system limited the proliferation of phytoplankton through continuous flushing. The total nitrogen (TN) and total phosphorus (TP) removal efficiencies in ACW were higher during the summer (21% to 25%) and fall (8% to 21%) seasons since phytoplankton utilize nitrogen and phosphorus during the early stages of phytoplankton blooms. In the case of LCW, the most efficient reduction in TN (24%) and TP (54%) concentrations were also noted in summer, which can be attributed to the favorable environmental conditions for microbial activities. The mean removal of organics in ACW was lowest during summer season (-52% to 35%), wherein the onset of algal decay triggered a relative increase in organic matter and stimulate bacterial growth. The removal of organics in LCW was highest (54 % to 55%) during the fall and winter seasons since low water temperatures may limit the persistence of various algal species. Variations in environmental conditions due to seasonal changes can greatly affect the performance of CW systems. This study effectively established the contributory factors affecting the feasibility of utilizing CW systems for treating agricultural and livestock discharges and runoff.

  • PDF

자연기반해법을 적용한 그린인프라 시설의 극한기후 영향 사례분석 (Comprehensive Review on the Implications of Extreme Weather Characteristics to Stormwater Nature-based Solutions)

  • ;;;;전민수;김이형
    • 한국습지학회지
    • /
    • 제25권4호
    • /
    • pp.353-365
    • /
    • 2023
  • 전세계적으로 기후변화로 인한 그린인프라와 환경기반시설의 영향 및 예측에 대한 연구는 활발히 진행되고 있다. 하지만 국가별 극한기후가 발생하는 시기나 패턴이 다르기에 국내에도 극한기후로 인한 그린인프라와 환경기반시설에 대한 연구가 필요하다. 따라서 본 연구에서는 국내 주요 7개 도시를 대상으로 기상청에서 제공하는 20년 동안의 극한기후에 대한 통계적 분석과 극한기후로 인한 자연기반해법(NBS)을 적용한 그린인프라 시설에 대한 영향분석을 수행하였다. 극한기후에 대한 통계분석 결과 지리적 위치, 지표 불투수성, 지역 기상 패턴에 따라 다양한 극한 기상조건에 잠재적으로 취약한 것으로 분석되었다. 서울은 극한온도(영상, 영하)가 관측되었으며 부산, 울산 및 제주에서는 강수량과 바람에 대해 극한기후가 발생하여 도시탄력성에 잠재적인 위협인자로 분류되었다. 온도는 도시 내 식생에 대한 회복력에 주요 요인으로 적용되며, 바이오차, 모래, 자갈, 우드칩 등 여재를 적용한 습지(CW)에서 극 영하온도에서 물리적 제거효율 및 영양염류 제거능력을 저하되는 것으로 분석되었다. 극한기후로 인한 영향을 저감하기 위해 그린인프라 시설 내 온도조절이 가능한 차광 및 단열 시스템적용과 같은 극한기후 별 대응전략 수립이 가능하다. 본 연구를 통해 국내와 기후특성이 유사한 지역에서의 극한기후 대응전략 수립에 도움이 될 것으로 판단된다.

침강지 시설이 조성된 LID 시설의 환경적 영향평가 (Comparative assessment of urban stormwater low impact strategies equipped with pre-treatment zones)

  • ;;전민수;김이형
    • 한국습지학회지
    • /
    • 제21권2호
    • /
    • pp.181-190
    • /
    • 2019
  • 최근 강우유출수를 비용효율적으로 관리하기 위해 저영향개발 (Low Impact Development, LID)과 자연기반해법(Nature-based solution, NBS)를 도입하고 있다. 본 연구에서는 LID 시설 중 도심지 내 적용가능하고 유입부에 침강지가 조성된 침투도랑(IT)과 소규모 인공습지(SCW) 등 2개의 시설에 대해 효율성을 평가하였다. 효율성 평가는 장기간의 모니터링을 통한 자료를 이용하여 수행하였다. 분석결과 하절기 기간은 식생의 흡입 등의 생물학적 활동으로 인하여 SCW의 효율이 더 높았으나, 동절기 기간에는 식물의 고사로 인하여 IT의 효율이 더 높은것으로 분석되었다. 침강지 내 퇴적물의 분석결과 SCW 침강지 내 식생에 의한 정화작용 및 미생물등의 생물학적 처리기작으로 인하여 COD와 TN의 저감효율이 높은것으로 분석되었다. 본 연구에서는 침강지 시설을 조성한 LID 시설에 대해 비교하였으며, 자연과 유사한 자연기반해법을 LID 시설에 적용할 경우 기존 시설보다 처리효율이 우수한것으로 나타났다.

납골당 계획에 관한 사례조사 연구 (A Case Study on the Planning of Charnel House)

  • 손계중;김영훈
    • 한국실내디자인학회논문집
    • /
    • 제13호
    • /
    • pp.72-77
    • /
    • 1997
  • The funeral and grave system in Korea has issued that our country will become a grave. This is a result of being in favor of the funeral and grave process of burial based on long time traditions and customs. The government is allowing construction and use of charnels on a large scale in order to improve this system after analyzing the problems of the current grave system; However, those results are very few and slight because the image of existing charnels have been regarded as abomination utilities and it has been projected not to be closed to the public easily. In this stduy, we first looked at these problems using sample research and analysis. Second, we made comparisons and analysis to suggest solutions in the projecting method and feature of those spaces by carrying out a sample research project. This project was based on 3 of the biggest charnels built recently, which are out of the 54 charnels in Korea. After assaying the image according to the interior designing elements, and then proposing various several alternatives, we would like to tell how to build the future-oriented and opened charnels as the purpose of this study. Therefore, when projecting charnels, we would like to suggest the alternative solution that diminishes abomonation and closeness in the interior of the charnel through the designing consideration and increases the usage of this building by inducing traditional limitations and maintaining vertical dignity and piety by making the central axis adapting to the nature.

  • PDF

Nafion 기반 IPMC 응용 및 개발 동향 (Trends of Nafion-based IPMC Application and Development)

  • 호동해;조수영;최윤영;최영진;조정호
    • 세라미스트
    • /
    • 제23권1호
    • /
    • pp.16-26
    • /
    • 2020
  • Recently, polymer-metal composite (IPMC)-based ionic artificial muscle has been drawing a huge attention for its excellent soft actuator performance having outstanding soft actuator performance with efficient conversion of electrical energy to mechanical energy under low working voltage. In addition, light, flexible and soft nature of IPMC and high bending strain response enabled development of versatile sensor application in association with soft actuator. In this paper, current issues of IPMC were discussed including standardizing preparation steps, relaxation under DC bias, inhibiting solvent evaporation, and improving poor output force. Solutions for these drawbacks of IPMC have recently been suggested in recent studies. After following explanation of the IPMC working mechanism, we investigate the main factors that affect the operating performance of the IPMC. Then, we reviewed the optimized IPMC actuator fabrication conditions especially for the preparation process, additive selection for a thicker membrane, water content, solvent substitutes, encapsulation, etc. Lastly, we considered the pros and cons of IPMCs for sensor application in a theoretical and experimental point of view. The strategies discussed in this paper to overcome such deficiencies of IPMCs are highly expected to provide a scope for IPMC utilization in soft robotics application.

Life-cycle-cost optimization for the wind load design of tall buildings equipped with TMDs

  • Venanzi, Ilaria;Ierimonti, Laura;Caracoglia, Luca
    • Wind and Structures
    • /
    • 제30권4호
    • /
    • pp.379-392
    • /
    • 2020
  • The paper presents a Life-Cycle Cost-based optimization framework for wind-excited tall buildings equipped with Tuned Mass Dampers (TMDs). The objective is to minimize the Life-Cycle Cost that comprises initial costs of the structure, the control system and costs related to repair, maintenance and downtime over the building's lifetime. The integrated optimization of structural sections and mass ratio of the TMDs is carried out, leading to a set of Pareto optimal solutions. The main advantage of the proposed methodology is that, differently from the traditional optimal design approach, it allows to perform the unified design of both the structure and the control system in a Life Cycle Cost Analysis framework. The procedure quantifies wind-induced losses, related to structural and nonstructural damage, considering the stochastic nature of the loads (wind velocity and direction), the specificity of the structural modeling (e.g., non-shear-type vibration modes and torsional effects) and the presence of the TMDs. Both serviceability and ultimate limit states related to the structure and the TMDs' damage are adopted for the computation of repair costs. The application to a case study tall building allows to demonstrate the efficiency of the procedure for the integrated design of the structure and the control system.

Design and Analysis of Fabrication Threat Management in Peer-to-Peer Collaborative Location Privacy

  • Jagdale, Balaso;Sugave, Shounak;Kolhe, Kishor
    • International Journal of Computer Science & Network Security
    • /
    • 제21권12spc호
    • /
    • pp.399-408
    • /
    • 2021
  • Information security reports four types of basic attacks on information. One of the attacks is named as fabrication. Even though mobile devices and applications are showing its maturity in terms of performance, security and ubiquity, location-based applications still faces challenges of quality of service, privacy, integrity, authentication among mobile devices and hence mobile users associated with the devices. There is always a continued fear as how location information of users or IoT appliances is used by third party LB Service providers. Even adversary or malicious attackers get hold of location information in transit or fraudulently hold this information. In this paper, location information fabrication scenarios are presented after knowing basic model of information attacks. Peer-to-Peer broadcast model of location privacy is proposed. This document contains introduction to fabrication, solutions to such threats, management of fabrication mitigation in collaborative or peer to peer location privacy and its cost analysis. There are various infrastructure components in Location Based Services such as Governance Server, Point of interest POI repository, POI service, End users, Intruders etc. Various algorithms are presented and analyzed for fabrication management, integrity, and authentication. Moreover, anti-fabrication mechanism is devised in the presence of trust. Over cost analysis is done for anti-fabrication management due to nature of various cryptographic combinations.

Real-Time CCTV Based Garbage Detection for Modern Societies using Deep Convolutional Neural Network with Person-Identification

  • Syed Muhammad Raza;Syed Ghazi Hassan;Syed Ali Hassan;Soo Young Shin
    • Journal of information and communication convergence engineering
    • /
    • 제22권2호
    • /
    • pp.109-120
    • /
    • 2024
  • Trash or garbage is one of the most dangerous health and environmental problems that affect pollution. Pollution affects nature, human life, and wildlife. In this paper, we propose modern solutions for cleaning the environment of trash pollution by enforcing strict action against people who dump trash inappropriately on streets, outside the home, and in unnecessary places. Artificial Intelligence (AI), especially Deep Learning (DL), has been used to automate and solve issues in the world. We availed this as an excellent opportunity to develop a system that identifies trash using a deep convolutional neural network (CNN). This paper proposes a real-time garbage identification system based on a deep CNN architecture with eight distinct classes for the training dataset. After identifying the garbage, the CCTV camera captures a video of the individual placing the trash in the incorrect location and sends an alert notice to the relevant authority.