흉부 MDCT 영상을 이용한 폐 구조물 분할 및 혈관 정제 기법 연구

신민준 순천대학교 대학원 2012 국내석사

Although the lives of human race have improved due to industrialization and development of advanced technologies, manifestation of diseases due to diverse range of viruses and accidents such as traffic accidents and natural disasters are increasing and becoming more frequent. Recently, increase in acute pulmonary diseases and social problems arising from such increase have become an issue that received highlight in our society. Accordingly, the importance of processing and utilization of images on key organs of human body is continuing to increase. Given such circumstances, numerous researches using thoracic CT images are being carried out at the moment. However the existing researches have inadequacies from the perspectives of re-usage and re-composition of the images since these researches were focused on segmentation of each structure of thorax. In addition, they have the shortcoming that it is not possible to obtain images of blood vessels with high level of reliability since appropriate purification process for the blood vessels in the segmented thoracic structure was not accompanied. This thesis supplemented the problems that exist in the existing researches by proposing supplementing the aspects of re-usage and re-composition of thoracic structures and appropriate blood vessel purification process. Organs were segmented for each stage by using thoracic CT image and purification process for the pulmonary blood vessels was carried out with the resultant images being re-composed into 3-dimensional images. Image improvement techniques such as region growing method, increased resolution and gamma adjustment were applied in order to effectively segment the bronchial tubes and lungs in the original copy of the CT images. Bronchial tubes were segmented by inputting images of segmented bronchial tubes and lungs, and staged segmentation of the thoracic structures was carried out by segmenting the pulmonary region through the Analysis of Difference Image on lung and bronchial tubes including the bronchial tubes Pulmonary blood vessels were segmented by using the images of segmented pulmonary region. The effectiveness of blood vessel purification was elevated by applying size categorization using 2-dimensional connective pixel group label and by applying 3- dimensional connectivity test in order to supplement the problems of the existing pulmonary blood vessel segmentation. This thesis that proposes the method of supplementing the problems of the existing researches through segmentation for each stage and blood vessel purification process is thought to be helpful in researches on each section of thoracic structures and the algorithm, etc used in the thesis is deemed to be applicable to each organ of the human body. I am planning to carry out studies on re-composition on the sagittal, coronal and curved surfaces of each structure as the future direction of my researches.

4차 산업혁명 과학기술 기반 소방서비스에 관한 분석적 연구 : 스마트 소방서비스의 환경, 역량, 목표를 중심으로

신민준 한양대학교 대학원 2022 국내박사

ABSTRACT Analytical study on fire service based on 4th industrial revolution science and technology - Focusing on the environment, capabilities, and goals of Smart Fire Service - Shin, Min jun Dept. of Science & Technology Policy Graduate School of Hanyang University In the era of the 4th industrial revolution, as the public's expectations for administrative services increase, the demand for innovation is also increasing. The fire service cannot resist this trend, and operations that rely on fragmented situational information and the commander's experience are repeatedly pointed out whenever a fire disaster occurs. However, Korean fire officers lack an accurate understanding of smart fire service, and it is a topic that has not been sufficiently discussed in existing studies. First, the purpose of this study is to present a model that integrates the environment, capabilities, and goals to build Smart Fire Service to help a clear understanding of it. This model is used to critically analyze the promotion projects and response activities of the Korean Fire Service. To achieve this purpose, the concept of Smart Fire Service is defined as a decision support system that real-time information collection and analysis at disaster sites is possible and uncertainty in information management and operational planning could be reduced by applying the 4th industrial revolution science and technology to fire suppression and rescue. Second, an analysis framework that integrates the smart fire service environment, capabilities, and goals was derived through theoretical review and overseas case analysis. As a process for building Smart Fire Service environment, the model proposed by Lee Min-ha (2018) was based on data conversion of the real world, cloud information integration, artificial intelligence analysis, and smart devices. It is revealed that through such an environment establishment, information management and operational capabilities will be dramatically improved, and ultimately, the goals of immediacy, sensitivity, synthesis, integration, and communication can be achieved. In addition, through case analysis of Firecast 3.0 in the United States, Eurekurukool in Japan, and Alps landslide monitoring system in Europe, Developed countries are actively using big data, IOT, artificial intelligence to build smart firefighting services, and the similarity between the integrated model presented in this study and the their basic framework was confirmed. Third, by using this integrated model as an analysis frame, Korea's smart fire service promotion projects and disaster response cases were analyzed. As domestic cases, Real-time fire facility management system, Incident command training center, Fire safety map, and R&D project of the Fire emergency management agency were analyzed from the perspective of environment, capability, and goal of Smart Fire service. Through this analysis, though Korea Fire Service recognize the necessity of introducing the 4th industrial revolution and is trying to settle in various business fields, but they are proceeding as an independent project without systematic and long-term plans. As disaster response cases, the Jecheon Sports Center fire, the Icheon frozen warehouse fire, and the Yeoksam-dong collapse accident in Gangnam-gu were selected. They are disasters where information management or commander operations have failed, or that expose the limits of the current fire service system. Through these three cases, the failure of information management and operation development occurred due to the lack of a certain part of the smart fire service environment, and in the end, what goal could not be achieved was analyzed. Finally, advices for the establishment of a smart fire service were proposed. First, in terms of creating an environment, it is necessary to reorganize the project promotion organization, secure a budget, and revise related laws and regulations. Second, in terms of Strengthening firefighting capabilities, it is required to conduct education and training to nurture professional staffs and to manage innovation resistance of firefighters. Third, in terms of goal achievement, it is necessary to establish goals-oriented business plan and research results evaluation including goals-sharing network with related organizations. 국 문 요 지 4차 산업혁명시대에 국민의 행정서비스 기대가 높아지는 만큼 혁신에 대한 요구도 증가하고 있다. 소방서비스도 이러한 시대적 흐름을 거스를 수 없고 파편화된 상황정보와 지휘관의 경험에 의존한 작전 전개는 화재 참사가 발생할 때마다 반복적으로 지적되고 있다. 그러나 소방은 아직까지 스마트 소방서비스에 대한 정확한 이해가 부족하고 기존 연구들도 충분히 논의해 본적이 없는 주제이다. 먼저, 본 연구의 목적은 스마트 소방서비스의 명확한 이해를 돕기 위해 스마트 소방서비스를 구축하기 위한 환경, 역량, 목표를 통합하는 모델을 제시하고 이를 활용하여 한국의 추진 사업과 대응활동을 비판적으로 분석하는 것이다. 이를 위해 먼저 스마트 소방서비스의 개념을 화재진압, 구조 등의 소방업무에 4차 산업혁명 과학기술을 적용하여 재난현장에서 실시간 정보 수집과 분석을 가능하게 하고 정보관리 및 작전수립의 불확실성을 줄여서 지휘관의 의사결정을 지원하는 시스템으로 정의했다. 둘째, 이론적 검토와 해외사례 분석을 통해 스마트 소방서비스 환경, 역량, 목표를 통합하는 분석틀을 도출하였다. 스마트 소방서비스 환경을 구축하기 위한 프로세스로 이민하(2018)가 제시한 현실세계의 데이터화, 클라우드 정보화, 인공지능 분석, 스마트화를 기본으로 하였다. 이러한 환경구축을 통해 정보관리와 작전역량이 획기적으로 개선되고 궁극적으로는 즉시성, 민감성, 종합성, 통합성, 소통성이라는 목표가 달성 가능함을 밝혔다. 또한 미국의 Firecast 3.0, 일본의 유레쿠루콜, 유럽의 알프스 산사태 감시 체계 등의 사례 분석을 통해 선진국들이 스마트 소방서비스 구축을 위해 빅데이터, IOT, 인공지능 등을 적극적으로 활용하고 있고 본 연구에서 제시한 통합모델과 기본적인 틀의 유사성을 확인할 수 있었다. 셋째, 통합모델을 분석틀로 활용하여 한국의 스마트 소방서비스 추진 사업과 재난대응사례들을 비판적으로 분석하였다. 국내 사례들로 실시간 소방시설관리시스템, 재난현장지휘역량강화센터(ICTC), 소방안전지도, 소방청 R&D 사업을 스마트 소방서비스의 환경, 역량, 목표 관점에서 분석하였다. 이러한 분석을 통해 소방의 정책결정 부서들이 4차 산업혁명 과학기술 도입의 필요성을 인식하고 다양한 업무분야에 정착을 시도는 하고 있지만 체계적이고 장기적인 비전없이 이벤트 성격의 독자적 사업으로 진행하고 있다고 비판했다. 재난대응사례로 제천 스포츠센터 화재, 이천 냉동창고 화재, 그리고 강남구 역삼동 붕괴 사고를 선정하였는데 정보관리나 지휘관 작전이 실패했거나 현 소방서비스의 한계를 드러낸 재난들이다. 이 세 가지 사례들이 스마트 소방서비스 환경의 어떤 부분이 부족하여 정보관리와 작전 전개에 실패가 발생하였고 최종적으로는 어떤 목표를 달성할 수 없게 되었는지 분석하였다. 마지막으로 스마트 소방서비스 구축을 위한 정책을 제언하였다. 첫째, 환경 조성 측면에서 사업추진 조직 정비와 예산확보, 관계법령과 규제의 개정이 필요하다. 둘째, 역량 강화를 위해 전문인력 양성 교육훈련 실시와 소방공무원들의 혁신저항 관리가 요구된다. 셋째, 목표 달성 측면에서 목표 중심의 사업계획 수립과 연구성과 평가, 관계기관과 목표 공유 네트워크 구축이 필요하다.

유글레나 파라밀론 함량 증대를 위한 대사 조절 기반 연구

신민준 忠南大學校 大學院 2021 국내석사

After centuries of secondary intracellular symbiosis, Euglena is being studied as a good model organism for understanding the genetic and structural complexities of various nutritional acquisition methods and environmental adaptation capabilities.In this study, the purpose of this study is to understand the relationship between the content of useful substances in cells through Euglena culture under various culture conditions, and to study the transformation method through the discovery of genes that increase the content of paramylon.Euglena was cultured according to pH (3,7), light conditions (16h light/8h dark, 24h dark), and the presence or absence of carbon source (15g/L glucose) in order to observe changes in the content of paramylon and biomass in euglena. The graph of paramylon content was analyzed. In addition, Agrobacterium-mediated Euglena transformation was performed through the EgSUC2 gene, which is considered to be a gene-related gene with UDP-glucose as a substrate during paramylon biosynthesis. As a result of euglena culture, it was found that the growth rate was high under the condition of pH7, and the biomass of euglena cultured at pH3 with the addition of glucose was significantly increased in the 24h dark condition compared to 16 h light/8 h dark. In addition, when culturing with glucose added under the condition of pH7, a high level of increase in biomass could be confirmed. As a result of analyzing the difference in growth and paramylon content according to pH condition, light condition, and carbon source, the highest growth was observed in the culture condition with glucose addition in dark condition regardless of pH. The highest accumulation of paramylon was observed at 62.7% in the culture condition with glucose addition. In the antibiotic screening for Euglena gracilis Agrobacterium-mediated transformation experiment, colonies were observed using 30 mg/L of hygromycin per 1×105 cells/ml, and this was used as a selection concentration. Based on these results, Agrobacterium-mediated transformation was performed using the EgSUC2 gene. As a result, colonies were observed in the selection medium, and the transformation was confirmed through colony PCR to obtain one gene corrector. Afterwards, to compare the difference in the amount of paramylon and the amount of gene expression with the wild-type, paramylon and biomass measurements and RT-PCR were performed at the 4th, 8th, and 12th days. It was confirmed that the expression of the SUC2, TER3, TER4 genes increased on the 4th day among the genes related to paramylon synthesis, and the NTR1,2 gene expression decreased on the 8th and 12th days.

안전 모니터링 로봇 시스템을 위한 영상기반 실시간 낙상 감지

신민준 한양대학교 대학원 2022 국내석사

최근 일상 생활에서 활용되는 로봇의 연구가 활발히 진행되고 있다. 단순 작업만 반복하던 로봇이 실시간 영상 처리나 딥러닝 네트워크를 통해 다양한 정보를 얻을 수 있게 되었다. 이러한 발전으로 로봇이 감시 및 보안과 같은 업무뿐만 아니라 인명사고, 도난, 화재와 같은 사고를 감지할 수 있게 되었다. 본 연구에서는 일반적인 카메라를 사용하여 사람의 낙상을 실시간으로 감지하고 빠르게 알려 사고로 인한 피해를 최소화 할 수 있도록 하는 실시간 낙상 감지 알고리즘을 소개한다. 이 과정에서 특이한 자세의 사람을 인식하기 위한 가중치 학습과 빠르고 효율적인 사람 추적 방법을 제시한다. 본 연구에서 사용하고자 하는 실시간 낙상 감지 알고리즘은 크게 4단계로 구성된다. 우선, 사람을 인식하는 과정은 객체 인식 딥러닝 네트워크 중 하나인 YoloV3를 사용한다. 이후 인식된 사람의 자세를 추정할 때에는 다인 자세 추정 딥러닝 네트워크 중 하나인 RMPE(Regional multi-person pose estimation, ‘AlphaPose’)를 사용한다. 영상에서 인식한 사람을 지속적으로 추적하며 동일한 사람으로 정의하기 위한 방법으로 Human Re-Identification method(‘Pose-Track’)와 Efficient Online Pose Tracking method(‘Pose-Flow’)에 대해 소개하고, 최소비용 이분 매칭 기반 추적 방법을 제안한다. 최종적으로 저장된 사람의 자세를 통해 행동을 인식하는, 특히 낙상을 감지하는 방법으로는 행동 검출 딥러닝 네트워크 중 하나인 Spatial-temporal graph convolution network(ST-GCN)를 사용한다. 본 연구에서는 객체 인식 딥러닝 네트워크에서 직접 수집한 데이터 세트를 통해 가중치 학습을 진행하고, 사람을 지속적으로 추적하기 위한 빠르고 효율적인 방법을 사용하여 낙상 감지 성공률을 41%에서 97%까지 개선시켰다. 이를 통해 안전 모니터링 로봇 시스템에서 영상 처리를 통한 실시간 낙상 감지 알고리즘을 사용할 수 있다. Recently, research on robots that are used in everyday life is being actively conducted. Robots, which used to only repeat simple tasks in the past, can obtain various information through real-time image processing or deep learning networks. These changes helped that robots perform accident detection such as occurrence of casualties, theft, and fire, as well as tasks such as monitoring and security. This study introduces a real-time fall detection algorithm that uses a general camera to detect human falls in real time and quickly inform them to minimize damage caused by accidents. In this process, recognition network learning for recognition of people with unique postures and fast and efficient object tracking method are presented. The real-time fall detection algorithm to be used in this study largely consists of 4 steps. First, the process of recognizing a person uses YoloV3, which is one of the object recognition deep learning networks. Next, when estimating the pose of a recognized person, RMPE (Regional multi-person pose estimation), one of the multi-person pose estimation deep learning, is used. The Human Re-Identification method ('Pose-Track') and the Efficient Online Pose Tracking method ('Pose-Flow') are introduced as the way to continuously track and define the person recognized in the image as the same person, and a minimum cost binary matching-based tracking method is proposed. Finally, the Spatial-Temporal graph convolution network(ST-GCN), one of the action recognition deep learning networks, is used to recognize human activities (especially, ‘fall down’) through the pose of people. In this study, we improved the fall detection accuracy from 41% to 97%. Accordingly, a real-time fall detection algorithm through image processing can be used in the safety monitoring robotic systems.

CRISPR/Cas9을 이용한 어류 세포와 세균 유전자 타겟팅 및 그 발현 조절

신민준 부경대학교 2019 국내석사

The bacterial adaptive immune system, CRISPR (clustered regularly interspaced short palindromic repeats), have spotlighted as a powerful and multi-purpose technology for genome editing. Recently, the CRISPR system expanded to the regulation of gene expression through the use of catalytically inactive dead Cas9 (dCas9); up-regulation through CRISPR activation (CRISPRa) and down-regulation through CRISPR interference (CRISPRi). The CRISPRi can interfere the expression of specific genes like customized DNA-binding proteins such as zinc-finger proteins or transcription activator-like effectors (TALEs) have been used as tools for sequence-specific DNA targeting and gene regulation. The nuclease-deficient Cas9, termed dCas9, guided by a single guide RNA (sgRNA) binds a target in genomic DNA without cleaving it, and the dCas9–sgRNA complex interfere with transcription elongation by blocking RNA polymerase (Pol) or transcription initiation by disrupting transcription factor binding. The CRISPRa system are expressed by using the dCas9 fused proteins can recruit transcription activators such as transcriptional activation domains (ADs). In natural systems, transcriptional initiation occurs through the coordinated recruitment of the necessary machinery by a number of locally concentrated transcription-factor ADs, so these ADs fusion protein can induce robust expression of target gene by the sgRNA targeting promoters region of the gene near transcription start sites (TSSs). In this study, By using the present CRISPR system and the application technologies, we want to check the regulation of target genes in fish cells, and differences of responses according to changed expression of targeted immune-related genes. The differences are also checked with cells knocked-out the genes by CRISPR-Cas9 system. We choose α subunit of Hypoxia-inducible factor-1 (HIF-1), which is key role in cellular homeostasis to hypoxia, as a target of CRISPRi system, and induced the down-regulation of the target gene in Epithelioma papulosum cyprini (EPC) cells. Additionally, in previous study the HIF-1α knock-out EPC cells showed the resistance to apoptosis and cytopathic effect (CPE) induced by Viral hemorrhagic septicemia virus (VHSV) more then normal EPC cells, so changes of susceptibility to VHSV in the EPC cell repressed expression of HIF-1α by CRISPRi system were analyzed with the EPC cells knocked-out HIF-1α gene. By the CRISPRa system, the activation of eGFP expression by targeting a CMV promoter in exogeneous plasmid vector was analyzed in EPC cells, and we induced the activation of Mx gene, known as antiviral protein, as endogenous target by targeting a promoter of the Mx gene in Hirame natural embryo (HINAE) cells. The repression of HIF-1α in EPC cells was analyzed through Quantitative real-time PCR (qPCR), and a robust and specific knockdown of HIF-1α was detected. The changes of susceptibility of VHSV in the EPC cells repressed expression of HIF-1α were analyzed through comparing the time of CPE observation with the HIF-1α knock-out EPC cells. The HIF-1α repression EPC cells showed the similar resistance to that of HIF-1α knock-out EPC cells. The activation of target genes was also analyzed through qPCR, and the expression of eGFP multiplied almost sixfold then control EPC, and the expression of Mx gene also multiplied more then 20-fold then control HINAE cells. By this study, the regulation of the target genes by the CRISPR application systems was confirmed in fish cells, and in further study these systems can utilize in several different ways by changing appropriate target of the systems to induce dramatic effect. We checked that the cells repressed the target gene by CRISPRi system showed similar response to the cells knocked out the gene, this result show a possibility to use the system for loss-of-function analysis. The CRISPR-Cas9 system have developed as a genome editing technology, and productions of mutant in organism become relatively easier than that by past methods because of this technology. Because of this development, methods for the production of mutant bacteria was changed from complex traditional method such as using allelic exchange by conjugation to simple method; Using only a vector expressing CRISPR-Cas9 system and a donor template contained homologous arms for induction of Homologous directed recombination (HDR). In this study, we choose a gene of alanine racemase (alr), an enzyme catalytic for change L-alanine to D-alanine that is essential for cell wall synthesis in bacteria, in Escherichia coli (E. coli) as a target of CRISPR/Cas9 system, and induced the mutation of alr gene in E. coli by this system. The production of mutant strain knocked out alr gene was performed by transformation of vectors expressing CRISPR/Cas9 system and containing donor template targeting alr gene, and the changes of alr gene sequence in E. coli was detected by PCR and sequencing of the gene. Conclusionally, the mutation of E. coli was checked by sequencing of alr gene to equal donor template design, and we checked the successful production of induced mutant strain of E. coli by the system. This system can be extended out pathogenic bacteria in aquaculture, and enable to induce mutation easily such as the auxotrophic mutant, and at a further study, the mutant would be used as a attenuated vaccine.

SD기법을 통한 송도해안볼레길 경관인식에 관한 연구

신민준 동아대학교 대학원 2015 국내석사

Investigating NIR-Responsive Inflammation-Targeting Mesenchymal Stem Cells for Severe Rheumatoid Arthritis Treatment and SARS-CoV-2 Spike Protein-Loaded Ectosomes for Lung Cancer Targeted Therapy

신민준 가천대학교 메디컬캠퍼스 일반대학원 2024 국내박사

The existing effectiveness of clinical therapies for osteo- and rheumatoid arthritis is evidently constrained. Despite the potential of mesenchymal stem cells (MSCs) as a regenerative therapy source, their unaltered form or introduction of genetically modified MSCs in vivo hinders their clinical application due to inadequate drug efficacy and unforeseen side effects, respectively. This study presents a novel approach to augment the migratory capacity of MSCs to inflamed joints through an inflammation-mediated educational process. To bolster the limited anti-inflammatory potential of MSCs, gold nano-stars loaded with triamcinolone are linked to MSCs. Moreover, near-infrared laser-assisted photothermal therapy (PTT) induced by gold nano-stars substantially enhances the anti-inflammatory effectiveness of the developed drugs, even in models simulating advanced-stage arthritis. This study introduces the immunological regulation mechanism of PTT; it reveals that PTT downregulates the expression of the interleukin 22 receptor, implicated in arthritis pathogenesis, in T lymphocytes, and inhibits Th17 differentiation from naïve CD4 T cells. Overall, inflammation-targeting MSCs, coupled with triamcinolone-loaded gold nano-stars, facilitate the repolarization of macrophages and reduce neutrophil recruitment in joints. Additionally, Edu-MSCs-AuS-TA notably alleviate arthritis-related pain, enhance general locomotor activity, and crucially induce cartilage regeneration, even in severe stages of arthritis models.

신세기 위화(余華) 작품 속 욕망의 변주

신민준 고려대학교 대학원 2020 국내석사

위화(余華, 1960~)는 1983년 <첫 번째 기숙사(第一宿舍)>을 시작으로 지금까지 중국당대문학계를 이끌어가는 작가이다. 특히 위화는 1987년 <십팔 세에 집을 나서 먼길을 가다(十八歲出門遠行)>를 기점으로 하여 실험적이고 파격적인 글쓰기를 통해서 인간 존재에 대한 심도 있는 탐구를 진행하였고, 이를 자신의 작품 속에 반영하였다. 이후 중국 사회는 정치, 경제, 문화 등 사회 모든 방면에서 급격한 변화를 맞이하게 되었고, 위화의 글쓰기 역시 이에 따라 창작의 변화를 보이기 시작했다. 첫 장편 소설인 ≪가랑비 속의 외침(在細雨中呼喊)≫에서 과도기적인 변화를 보여준 위화는 ≪인생(活着)≫에서부터 본격적으로 휴머니즘을 바탕으로 하는 리얼리즘 작품을 선보이며, 당대 중국 역사 속 진실된 인간의 이야기를 그려내기 시작하였다. 이러한 신세기 이전의 글쓰기 속에서 위화는 ‘욕망’이라는 키워드를 통해 인간의 잔혹성, 폭력성을 보여줌으로써 인간 본성에 대한 접근을 시도했으며, 이후 보편적 인류애를 담은 ‘공감과 연민’이라는 주제의식을 욕망에 담아내면서 인간 존재의 가능성을 보여주었다. 2000년 이후 신세기를 맞이하면서 위화는 또 한 번의 창작 변화를 보여주었다. 그는 작품 ≪형제(兄弟)≫를 시작으로 개혁개방 이후 시장경제체제를 받아들인 새로운 당대 중국 사회를 그려내었고, 새로운 변화와 함께 나타난 새로운 부조리를 인간의 욕망과 결부시켜 나타내었다. 위화는 작품을 통해 동일성에 의해서 ‘예속된’ 욕망과 그로부터 기인한 ‘예속된’ 주체가 만들어내는 온갖 부조리함을 매우 집약적이면서 예리하게 나타내었다. 그러나 위화는 여기서 멈추지 않고 새로운 윤리적 방향성과 욕망이 지닌 본질적인 가능성을 제시하면서 부조리함으로부터 벗어날 수 있는 혁명의 실마리를 제공하였다. 이후 위화는 작품 ≪제7일(第七天)≫을 선보이며 당대 중국 사회의 부조리를 좀 더 사실적으로 묘사해내었다. 특히 ‘사후세계’라는 독특한 시공간적 배경을 통해 문학적 효과는 물론, 현실에 대한 객관성을 확보하게 되었다. 위화는 이를 바탕으로 ≪형제≫에서 보여주었던 예속된 욕망과 주체를 더욱 생생하게 폭로할 수 있었다. 또한 이러한 글쓰기는 새로운 윤리적 방향성과 욕망의 본질적인 가능성을 작품 속에서 구체화시키게 해주었다. 위화는 사후세계 속에서 ‘기억’이라는 매개체를 통해서 ‘공감과 연민’이라는 윤리적 가치와 자신들을 예속시키는 동일성의 가치가 만든 사회적 코드로부터 탈주하고자 하는 내재적 욕망을 선명하게 그려낼 수 있었다. 위화는 여기서 더 나아가 ‘공감과 연민’이라는 ‘정동(情動, affect)’적 에너지를 발산하며 내재적 욕망이 발휘될 수 있는 배경을 제시하였고, 그 결과 각 개체들 간에 서열을 만들어낸 동일성에서 벗어나 ‘공감과 연민’이 근본을 형성하며 ‘공명(共鳴, resonance)’을 이룬 유토피아적인 공간을 보여줌으로써 욕망이 지닌 새로운 형태의 혁명 가능성을 보여줄 수 있었다. 이러한 위화의 신세기 작품 속 글쓰기는 새로운 당대 중국 사회에 대한 과감한 폭로와 함께 새로운 사회적 가치 및 혁명의 가능성을 제시하였다는 점에서 ‘당대성(當代性) 글쓰기’로서의 가치를 충분히 지니고 있다고 할 수 있다. 더불어 이 모든 것들의 핵심이라 할 수 있는 ‘욕망’이라는 키워드는 정치, 경제, 사회, 문화 등 각각 방면에 국한되지 않으며, 인간 존재에 대한 본질적인 접근 또한 가능했다는 점에서 강한 확장성을 지니고 있다. 마지막으로 사회적 소외 계층에 대한 접근과 그에 대한 ‘공감과 연민’, 그리고 이것들이 중심이 된 혁명의 가능성은 ‘당대성 글쓰기’중에서도 ‘저층(低層) 서사’로서의 가능성 역시 담고 있다. 물론 위화는 작품 속 가능성을 사후세계라는 비현실적 가상공간에 담아내었다. 그러나 그는 사후세계와 현실 세계의 구분을 모호하게 만들면서 현실 세계에서의 가능성을 분명하게 염두에 두고 있음을 보여주었다. 따라서 이러한 측면에 대한 더욱 심도 있는 연구가 필요할 것이다.