Computer Science: Recent submissions

Now showing items 141-160 of 409

    • Using Machine Learning and Graph Mining Approaches to Improve Software Requirements Quality: An Empirical Investigation 

      Singh, Maninder (North Dakota State University, 2019)
      Software development is prone to software faults due to the involvement of multiple stakeholders especially during the fuzzy phases (requirements and design). Software inspections are commonly used in industry to detect ...

    • Multi-Agent Based Simulation of an Unmanned Aerial Vehicles System 

      Murugesan, Karthiksivaram (North Dakota State University, 2011)
      The rapid growth of using Unmanned Aerial Vehicles (UAV) for civilian and military applications has promoted the development of research in many areas. Most of the unmanned aerial vehicles in use are manually controlled. ...

    • Software Metrics Tool 

      Singh, Rajat (North Dakota State University, 2018)
      In the current world software applications are becoming more important with each passing day. They are present in all walks of life and it’s difficult to imagine a world without them. It’s a part of every known industry ...

    • Design of a Game for Cybersecurity Awareness 

      Bhardwaj, Jagjot (North Dakota State University, 2019)
      The primary objective of this paper is to use the Bloom’s Revised Taxonomy educational objectives in creating a game called Cyber Air-Strike for learning basic concepts of cybersecurity. Bloom’s Revised Taxonomy is used ...

    • Multi Feature CBIR Model for Trademark Image Distinctiveness 

      Soni, Pratima (North Dakota State University, 2019)
      A Content-Based Image Retrieval (CBIR) system can help in detecting trademark infringement. This paper describes an improvement and extension of previous work for the existing Universal Model for a CBIR system, which only ...

    • Predictive Performance Evaluation of Different Neural Networks Using Stock Prices 

      Nyavanandi, Deepika (North Dakota State University, 2019)
      Forecasting stock market prices has been a challenging task due to its volatile nature and nonlinearity. Recently, artificial neural networks (ANNs) have become popular in solving a variety of scientific and financial ...

    • Evaluating the Usability of Collaboration Tool for Software Inspection Process 

      Kasireddy, Mounisha (North Dakota State University, 2019)
      To develop a good software product, the first and foremost step to master is creating complete and accurate software requirements specification document. Requirements documents are created from through research and are ...

    • The Grid Scan Heuristic for Extending Lifetime in Wireless Sensor Networks 

      Pachva, Srikar (North Dakota State University, 2011)
      Wireless Sensor Networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. Efficiency of ...

    • A Petri Net Based Simulation for Multiple Unmanned Aerial Vehicles 

      Mehta, Puneet (North Dakota State University, 2019)
      Nowadays more and more Unmanned Aerial Vehicles (UAVs) are being mass produced and are being used for a lot of activities like exploring never before explored areas of the world, recreational work, rescue missions etc. In ...

    • DOM Structure Based Web Pattern Mining 

      Pillarikuppam, Naresh (North Dakota State University, 2011)
      A rapid expansion in the Web has motivated several studies to understand and recognize the implementation structure underlying the interface. Though the presentation of the Web pages looks different, those Web pages may ...

    • Shortest Path in a Wireless Sensor Network with Multiple Sensor Failures 

      Poreddy, Sandeep Reddy (North Dakota State University, 2011)
      This paper shows how a shortest path can be obtained in a wireless sensor network, between a source sensor and a destination sensor, in a hop-by-hop fashion, considering multiple sensor failures along the path of data ...

    • K-Anonymization Implementation Using Apache Spark 

      Tortikar, Pratik (North Dakota State University, 2019)
      This experiment attempts on data which can reveal a person’s identity to anonymize with k-1 anonymity principle. "Given person-specific field-structured data, produce a release of the data with scientific guarantees that ...

    • Diabetes Social Networking App for American Indians 

      Gurram, Rachana (North Dakota State University, 2019)
      Chronic disease effects health and quality of living largely. Social networking can initiate the onset of pathology and serve as direct cause for several chronic and non-communicable diseases. Technology has the potential ...

    • Investigation of Strength Pareto Evolutionary Algorithm 

      Kakarlapudi, Madhumitha (North Dakota State University, 2019)
      The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...

    • Pressure-based Authentication: A Secure and Usable Approach 

      Meng, Zhangyu (North Dakota State University, 2018)
      Due to its invisibility feature, pressure force is useful to enhance the security of authentication, especially preventing shoulder surfing. However, it is challenging to memorize a pressure-based password. This paper ...

    • Basic Cybersecurity Awareness Through Gaming 

      Kulkarni, Vikas Krishnarao (North Dakota State University, 2019)
      The goal of this paper is to bring the basic awareness of cybersecurity among students so that they do not become a victim of cybercrime. Studies show that cybersecurity serious games support multiple well-established ...

    • Job Aggregation Search Engine 

      Sundaram, Anita (North Dakota State University, 2011)
      In this paper we describe the design and implementation of a Job Aggregation Search Engine (JASE) that acts as a one-stop-shop for listing recently posted jobs across top multiple job search engines. There are multiple job ...

    • A Linear Delay Algorithm for Enumerating All Connected Induced Subgraphs 

      Alokshiya, Mohammed (North Dakota State University, 2018)
      Real biological and social data is increasingly being represented as graphs. Pattern-mining-based graph learning and analysis techniques report meaningful biological subnetworks that elucidate important interactions among ...

    • A Circle-Geocaching Game Based on Classified Specimens 

      Agasaladinni Reddy, Prabhakara Reddy (North Dakota State University, 2018)
      This paper describes a CIRCLE-Geocaching extensible system played for the purpose of rehearsal learning. The system operates over a classification tree built by an instructor or a group of students engaged in classification, ...

    • Sentiment Analysis on Twitter Data Using Different Algorithms 

      Nazma, Monzuma (North Dakota State University, 2018)
      Sentiment analysis is the process of determining opinion expressed in a text, or an estimation of emotion related to the certain topic if it is negative, positive or neutral. The massive growth of social media, Twitter has ...