• Journal of Multimedia Information System
• /
• 제6권3호
• /
• pp.131-138
• /
• 2019

With the rapid evolution of communication technology, it became possible to overcome the spatial and temporal limitations faced by humans to some extent. Furthermore, the quality of personal life was revolutionized with the emergence of the personal communication device commonly known as the smart phone. In terms of defense networks, however, due to restrictions from the military and security perspectives, the use of smart phones has been prohibited and controlled in the army; thus, they are not being used for any defense strategy purposes as yet. Despite the current consideration of smart phones for military communication, due to the difficulties of network configuration and the high cost of the necessary communication devices, the main tools of communication between soldiers are limited to the use of flag, voice or hand signals, which are all very primitive. Although these primitive tools can be very effective in certain cases, they cannot overcome temporal and spatial limitations. Likewise, depending on the level of the communication skills of each individual, communication efficiency can vary significantly. As the term of military service continues to be shortened, however, types of communication of varying efficiency depending on the levels of skills of each individual newly added to the military is not desirable at all. To address this problem, it is essential to prepare an intuitive network configuration that facilitates use by soldiers in a short period of time by easily configuring the strategy network at a low cost while maintaining its security. Therefore, in this article, the author proposes a Zigbee-based local strategic network by using Opnet and performs a simulation accordingly.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2010년도 추계학술발표대회
• /
• pp.913-916
• /
• 2010

무선 센서 네트워크는 한정된 에너지 자원과 전원 공급 장치, 그리고 소형 배터리로 구성되어 있다. 센서 노드는 설치가 되면 사용자가 다시 접근할 수 없고 에너지 소스의 배포 및 교체가 가능하지 않다. 따라서, 네트워크의 수명 향상을 위해서는 에너지효율성이 네트워크 디자인의 핵심 요소가 된다. BCDCP 에서는 모든 센서는 CH (클러스터 헤드)로 데이터를 보내며 CH 는 BS(베이스 스테이션)로 이를 전송한다. BCDCP 는 소규모 네트워크에서는 잘 작동하지만 대규모 네트워크에서는 장거리 무선 통신을 위해 많은 에너지를 사용하기 때문에 적합하지 않다. 본 논문에서는 균형 잡힌 에너지 소비를 통해 네트워크 수명을 연장할 수 있는 삼각형 클러스터링 라우팅 프로토콜(TCRP)을 제안하였다. TCRP 는 삼각 모양으로 클러스터 헤드를 선택한다. 센서 필드는 에너지 레벨을 기준으로 지역을 나누게 되며 나뉘어져 있으며 모든 레벨에서 게이트 노드를 하나 선택하여 이 노드가 그 레벨 내에 있는 노드들의 데이터를 수집하고 리더 노드로 보낸다. 마지막으로 리더 노드가 BS 로 집계된 데이터를 보낸다. TCRP 는 몇 가지 실험을 통하여 BCDCP 보다 훌륭한 성능을 보여주었다.

• 산업공학
• /
• 제19권4호
• /
• pp.333-341
• /
• 2006

RFID (Radio Frequency Identification) is a technology that can input identification information to microchip and make goods, animals, persons recognized, chased, and managed using radio frequency, and is founded on the core technology of ubiquitous environment of the future. In this paper, we propose a RFID integrated system designed to manage the lifecycle of an individual product efficiently. The proposed system can enable traceability and visibility of items through their entire life by integrating distribution and banking information on the basis of EPCglobal Network. It may provide the infra of Digital Manufacturing and RTE (Real Time Enterprise) and effective information sharing structure with existing legacy system (ERP, CRM, SCM) by real time.

• International Journal of Computer Science & Network Security
• /
• 제21권4호
• /
• pp.131-139
• /
• 2021

In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

• International Journal of Advanced Culture Technology
• /
• 제11권4호
• /
• pp.464-469
• /
• 2023

As modern society develops, the number of diseases caused by bad smells is increasing. As it can harm people's health, it is important to predict in advance the extent to which bad smells may occur, inform the public about this, and take preventive measures. In this paper, we propose a hybrid neural network structure of CNN and LSTM that can be used to detect or predict the occurrence of odors, which are most required in manufacturing or real life, using odor complex sensors. In addition, the proposed learning model uses a complex odor sensor to receive four types of data, including hydrogen sulfide, ammonia, benzene, and toluene, in real time, and applies this data to the inference model to detect and predict the odor state. The proposed model evaluated the prediction accuracy of the training model through performance indicators based on accuracy, and the evaluation results showed an average performance of more than 94%.

• Nuclear Engineering and Technology
• /
• 제52권9호
• /
• pp.1998-2008
• /
• 2020

Solenoid operated valves (SOV) play important roles in industrial process to control the flow of fluids. Solenoid valves can be found in so many industries as well as the nuclear plant. The ability to be able to detect the presence of faults and predicting the remaining useful life (RUL) of the SOV is important in maintenance planning and also prevent unexpected interruptions in the flow of process fluids. This paper proposes a fault diagnosis method for the alternating current (AC) powered SOV. Previous research work have been focused on direct current (DC) powered SOV where the current waveform or vibrations are monitored. There are many features hidden in the AC waveform that require further signal analysis. The analysis of the AC powered SOV waveform was done in the time and frequency domain. A total of sixteen features were obtained and these were used to classify the different operating modes of the SOV by applying a machine learning technique for classification. Also, a deep neural network (DNN) was developed for the prediction of RUL based on the failure modes of the SOV. The results of this paper can be used to improve on the condition based monitoring of the SOV.

• 한국실내디자인학회논문집
• /
• 제22권6호
• /
• pp.79-87
• /
• 2013

The purpose of this study clarifies an expression characteristic of the phenomenal space. The architecture is an interface between human and nature. Nature presents herself as phenomena. Thus, the phenomenal space should be approached as the essence of architecture that is to accommodate nature. Phenomenon is related to everyday life and shares flow naturally within it. The phenomenon and everyday life form a relationship through the mediating elements that are time, place, and image. If these mediating elements are developed as spatialized elements, time becomes the converse, place becomes the overlap, and shape becomes the revealing. Also, spatial components that are substituted with these elements are void/solid, form, and materials. The relational characteristics of phenomenal space can be identified through these, and such characteristics are one-ness, continuity, and coincidence of opposites. Phenomenal space is expressed with spatial tones and accepted as spatial atmospheres. For the analysis, 15 works of swiss architects were selected to which spatial elements were applied. And It were composed that analysis by arranging these components as the relational network found that expression characteristics. Trough the analysis, It was found that expression characteristics of phenomenal space of the architecture of Swiss architects were prototypicality, primitiveness, and originality. As a results, It is considered that the role of the space that contains the value of everyday life, the value of the phenomenon is necessary.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권8호
• /
• pp.2214-2229
• /
• 2024

Wireless sensor network (WSN) consists of large number of sensor nodes that are deployed in geographical locations to collect sensed information, process data and communicate it to the control station for further processing. Due the unfriendly environment where the sensors are deployed, there exist many possibilities of malicious nodes which performs malicious activities in the network. Therefore, the security threats affect performance and life time of sensor networks, whereas various security aspects are there to address security issues in WSN namely Cryptography, Trust Management, Intrusion Detection System (IDS) and Intrusion Prevention Systems (IPS). However, IDS detect the malicious activities and produce an alarm. These malicious activities exploit vulnerabilities in the network layer and affect all layers in the network. Existing feature selection methods such as filter-based methods are not considering the redundancy of the selected features and wrapper method has high risk of overfitting the classification of intrusion. Due to overfitting, the classification algorithm fails to detect the intrusion in better manner. The main objective of this paper is to provide the efficient feature selection algorithm which was suitable for any type classification algorithm to detect the intrusion in an effective manner. This paper, the security of the network is addressed by proposing Feature Selection Algorithm using Chi Squared with Ensemble Method (FSChE). The proposed scheme employs the combination of decision tree along with the random forest classification algorithm to form ensemble classifier. The experimental results justify the feasibility of the proposed scheme in terms of attack detection, packet delivery ratio and time analysis by employing NSL KDD cup data Set. The obtained results shows that the proposed ensemble method increases the overall performance by 10% to 25% with respect to mentioned parameters.

• 한국멀티미디어학회논문지
• /
• 제8권8호
• /
• pp.1108-1118
• /
• 2005

Ad Hoc 네트워크는 무선접속을 사용하는 이동 노드들이 중앙관리 없이 구성되는 네트워크이다. Ad Hoc 네트워크의 노드는 제한된 전원을 가지며, 따라서 효율적으로 에너지를 사용하는 라우팅 방식에 대한 연구가 필요하다. 기존의 석유 에너지 기반 라우팅은 특정 노드의 과도한 에너지 소모에 따른 노드들간의 공정성, 네트워크 전체의 과도한 에너지 소비 등의 문제점을 가지고 있다. 본 논문에서는 기존의 문제점을 개선할 수 있는 Clustering Based Energy-Aware Routing (CBEAR) 방식을 제안하였다. 성능분석 결과 제안된 방식은 노드의 생존성을 유지하면서 노드들간의 공정성과 네트워크 전체의 에너지 효율성을 개선함을 확인하였다.

• 한국콘텐츠학회논문지
• /
• 제10권12호
• /
• pp.216-222
• /
• 2010

삶의 질을 높이기 위하여 무선 애드혹망 기술은 컴퓨터과학과 건강관리 응용산업에서 가장 중요한 분야의 하나로 알려져 있다. 유비쿼터스 건강시스템은 또한 실시간으로 비상상태의 경고기능을 제공해준다. 이러한 기능은 봉사자들의 수를 줄여줄 뿐 아니라 만성적인 병자와 노인들을 살아갈 수 있도록 돕는다. 시스템의 응용을 위하여 효과적이며 적절한 네트워크 시스템은 필수적이다. 따라서, 본 논문에서는 환자 노드가 지속적으로 뇌파를 측정하여 병원에 위치한 서버로 전송하는 다양한 네트워크 환경을 제안한다. 그리고, 이동노드들의 다양한 이동성과 토폴로지로 구성된 네트워크 시스템들을 옵넷 시뮬레이터로 시뮬레이션을 하고 평가할 것이다.