2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)最新文献

Deadlock prevention for resource allocation in model nVM-out-of-1PM 模型nvm -out- 1pm中资源分配的死锁预防

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-10-31 DOI: 10.1109/NICS.2016.7725659

Ha Huy Cuong Nguyen, Van Son Le, Thanh Thuy Nguyen

{"title":"Deadlock prevention for resource allocation in model nVM-out-of-1PM","authors":"Ha Huy Cuong Nguyen, Van Son Le, Thanh Thuy Nguyen","doi":"10.1109/NICS.2016.7725659","DOIUrl":"https://doi.org/10.1109/NICS.2016.7725659","url":null,"abstract":"The cloud computing paradigm shift brings about disruptive changes to the traditional business models in the infocomm sector, especially for existing software licensing models and server purchase or lease models. Vietnam Posts and Telecommunications Group (VNPT) have ramped up their cloud computing efforts as a strategic response to protect their current market share. This paradigm shift also has major separability on Vietnam's infocomm industry, which is heavily dependent on these traditional VNPT. Since 2014, Viet Nam has started offering services in domestic and international network in the country. The Global Data Services Joint Stock Company (GDS) is a joint venture between NTT Communications (NTT Com) and Vietnam Posts Telecommunications (VNPT). Although, a number of studies were published by third parties on how Vietnam has fared in its cloud journey. While such studies use different definitions and yardsticks, their results nonetheless are instructive in helping us to understand the progress Vietnam has made and to highlight areas for improvement. We have a few studies resources allocation such infrastructure as a services. With the aim to share research solutions and seek opportunities for local businesses who want to invest in infrastructure cloud from the Open Source duty. In this paper, we proposes an algorithm deadlock prevention the model n VM - out - of 1 PM to separate and manage resources. The algorithms for allocating multiple resources to competing services running in virtual machines on a heterogeneous distributed platforms. This paper presents an algorithm prevention deadlock used to reschedule the policies of resource supply for resource allocation. In the current scenario, deadlock prevention algorithm using method global state prevention based. We have implemented and performed our algorithm proposed by using CloudSim simulator.","PeriodicalId":347057,"journal":{"name":"2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124735967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Early containment of fast network worm malware 早期遏制快速网络蠕虫恶意软件

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-10-31 DOI: 10.1109/NICS.2016.7725649

M. Ahmad, Steve Woodhead, D. Gan

引用次数: 7

Incremental verification of ω-regions on binary control flow graph for computer virus detection 计算机病毒检测中二进制控制流图ω-区域的增量验证

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725670

Nguyen Thien Binh, Q. T. Tho, Ha Minh Ngoc, Nguyen Minh Hai

{"title":"Incremental verification of ω-regions on binary control flow graph for computer virus detection","authors":"Nguyen Thien Binh, Q. T. Tho, Ha Minh Ngoc, Nguyen Minh Hai","doi":"10.1109/NICS.2016.7725670","DOIUrl":"https://doi.org/10.1109/NICS.2016.7725670","url":null,"abstract":"Generally, a computer virus, or virus, consists of two major parts, including a syntactic pattern of signature and code segment performing the core malicious actions. Currently, most of commercial security programs rely on signature matching techniques for virus detection, thus suffering difficulty from some advanced polymorphic viruses which can infinitely change their signatures. In research community, model checking has been proposed to overcome this problem. Representing core malicious actions as temporal logic formulas, a model checker can then verify presence of malicious actions on a control flow graph (CFG) extracted from a binary executable. However, model-checking-based approaches encounter the infamous state explosion problem. In this paper, we tackle this problem by suggesting to partition the binary-extracted CFG into specific sub-graphs, known as ω-regions. Based on empirical observation on real virus samples, we argue that the code segment corresponding for a viral core malicious action should not occupy more than one ω-region. The tactic for location of those ω-regions from a CFG is also presented. This approach allows us to reduce the verification complexity by means of an incremental verification strategy. As a result, we enjoy significant performance improvement when experimenting with real dataset of viruses.","PeriodicalId":347057,"journal":{"name":"2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116804889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

AF relay-assisted MIMO/FSO/QAM systems in Gamma-Gamma fading channels Gamma-Gamma衰落信道中AF中继辅助MIMO/FSO/QAM系统

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725640

Duong Huu Ai, Ha Duyen Trung, D. T. Tuan

引用次数: 8

Spectrum utilization efficiency in elastic optical networks using virtualized elastic regenerators 基于虚拟弹性再生器的弹性光网络频谱利用效率

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725642

Hai-Chau Le, N. Dang, Ban T. Nguyen

引用次数: 1

An evaluation of precise point positioning using QZSS LEX signal in Vietnam 越南QZSS LEX信号精确点定位评价

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725657

Hiep Hoang-Van, Tu Nguyen Thi Thanh, Vinh La The

引用次数: 2

Keynote talk #2: Health informatics: A step forward to design an intelligent system for monitoring personal healthcare 主题演讲#2:健康信息学:设计监测个人健康的智能系统的一步

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725627

Le Hoang Son

{"title":"Keynote talk #2: Health informatics: A step forward to design an intelligent system for monitoring personal healthcare","authors":"Le Hoang Son","doi":"10.1109/NICS.2016.7725627","DOIUrl":"https://doi.org/10.1109/NICS.2016.7725627","url":null,"abstract":"In recent years, the growing demand of personal healthcare has attracted much attention from both researchers and practitioners. The motivation of designing an efficient intelligent system that keeps track physical conditions, makes diagnosis based on the symptoms, and recommends appropriate treatments is the long-term objective in Health Informatics. In this talk, we will present our recent results of creating such the system using knowledge model and the Internet-of-Thing (IoT) technology. The system firstly requests the IoT device to send the physical conditions of a patient using specialized sensors namely LM35 (temperature measurement), Pluse Sensor (heartbeat) and ESP8266 (network connection). The collected personal symptoms are then integrated to a server for diagnosis of possible diseases such as viral fever, hypothermia, tachycardia and heart failure. This is done by a new technique called the intuitionistic fuzzy recommender system (IFRS), which in essence is a recommender system deployed in the intuitionistic fuzzy set for diagnosing of diseases under uncertain environments. We will present the theoretical basis of IFRS including: i) the formulation of single-criterion and multi-criteria IFRS accompanied with some essential properties; ii) a hybrid model between picture fuzzy clustering and IFRS called HIFCF; iii) intuitionistic fuzzy vector (IFV) with intuitionistic vector similarity measure (IVSM); and iv) linguistic similarity measure. Using the model, diseases are ranked according to the current symptoms and stored in the server. Information of diseases and appropriate treatment therapies is sent back to the patient as well as stored in a web portal for personal monitoring.","PeriodicalId":347057,"journal":{"name":"2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125931966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy efficient wireless sensor network and low power consumption station design for an urban water level monitoring system 城市水位监测系统的高能效无线传感器网络和低功耗站设计

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725660

Tuan-Duc Nguyen

{"title":"Energy efficient wireless sensor network and low power consumption station design for an urban water level monitoring system","authors":"Tuan-Duc Nguyen","doi":"10.1109/NICS.2016.7725660","DOIUrl":"https://doi.org/10.1109/NICS.2016.7725660","url":null,"abstract":"In the context of wireless sensor networks (WSN), a design of an energy efficient wireless data collecting network and a low power water level monitoring station have been proposed in this paper. Different low power consumption sub-Ghz wireless modules have been compared in this paper, and a most efficient wireless module have been selected in order to design a wireless sensor network. This power efficient wireless sensor network have been designed to connect to many water level monitoring stations and transmit its data to a remote centre. In order to ensure a longterm operation in environment without the grid power supply, solar power supply have been selected and a low power consumption design of a water level monitoring station is also proposed. Finally, the power consumption of the proposed station with wireless sensor network module has been calculated to prove the energy efficiency. With the advantage of a low power consumption and low cost design, the proposed wireless sensor network and water level monitoring station can be applied widely in urban environment in developing countries like Vietnam.","PeriodicalId":347057,"journal":{"name":"2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129450588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Vehicle classification and detection based coarse data for warning traffic jam in VietNam 基于粗数据的越南交通拥堵预警车辆分类与检测

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725654

Van-Tuyen Dinh, Ngoc-Diep Luu, Hoang-Hon Trinh

{"title":"Vehicle classification and detection based coarse data for warning traffic jam in VietNam","authors":"Van-Tuyen Dinh, Ngoc-Diep Luu, Hoang-Hon Trinh","doi":"10.1109/NICS.2016.7725654","DOIUrl":"https://doi.org/10.1109/NICS.2016.7725654","url":null,"abstract":"This paper describes a new method to detect vehicles such as cars, motorbikes; it will be a good coarse data to analyze the traffic jam, specially in VietNam where motorbikes densely appear on the roads. From a new image, the method auto-hierarchically (automatically and hierarchically) learns and retrieves geometrical model, backgroud model, foreground objects. The geometrical model is used for reducing size of focus region, and reducing time processing. The background is automatically retrieved and updated by using Median filter method. From the background model and new image, the foreground objects are detected as candidates of Vehicles. To detect and classify the vehicle, Morphological features as area, aspect ratio, bounding box, orientation are used. From training set, the thresholds of morphological features are specified for each type of single, double or motorbikes, cars. This approach is built and finished by several well known algorithms such as line segment detection, dominant vanishing point calculation. The results shows that single, double or motorbikes, cars of vehicles are detected and classified in high accuracy and highly potential for real applications.","PeriodicalId":347057,"journal":{"name":"2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131022923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Automatic translation of Vietnamese simple sentences based on UNL 基于UNL的越南语简单句自动翻译

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI: 10.1109/NICS.2016.7725653

Phan Thị Lệ Thuyền, V. T. Hung

引用次数: 1