The New Jersey Institute of Technology is a public research university in the University Heights neighborhood of Newark, New Jersey. NJIT is New Jersey's Science & Technology University. Centrally located in the New York metropolitan area, its campus is within walking distance of downtown Newark. New York City, 9 miles , and about thirty minutes away, is directly accessible from campus via the Newark City Subway and the PATH rapid transit system.Founded in 1881 with the support of Newark's 19th-century industrialists and inventors especially Edward Weston , NJIT opened as Newark Technical School in 1884. Application oriented from inception, the school grew into a classic engineering college – Newark College of Engineering – and then, with the addition of a School of Architecture in 1973, into a technology-oriented university that is now home to five colleges and one school.NJIT opened with 88 students most of whom attended part-time. As of fall 2014, the university enrolls more than 10,600 students, over 2,200 of whom live on campus. NJIT's 48-acre campus was extensively re-landscaped in the past decade. Architecturally significant buildings include Eberhardt Hall, the Campus Center, and the Central King Building – the old Central High School of Newark in the Collegiate Gothic style – which is being renovated into a STEM center.NJIT offers 128 degree programs including 50 undergraduate majors and 78 graduate programs. Via its Honors College it also offers professional degree programs in collaboration with nearby institutions. These include a program in medicine with New Jersey Medical School , and an accelerated engineering + law program with Seton Hall Law School.The university is organized into 27 academic departments. Three departments, Biological science, History, and Theater Arts, are federated with Rutgers–Newark whose campus borders NJIT's. With a student population that is almost 20% international NJIT consistently ranks among the 10 most ethnically diverse national universities in the country. It has multiple study abroad options along with extensive co-op, internship, and service opportunities. The university awarded 2,242 degrees in 2014 including 1129 Bachelors, 1058 Masters, and 55 PhDs. According to PayScale , NJIT ranks 19th among Engineering Schools and 32nd among Research Universities in the US by Salary Potential.Research at NJIT has grown substantially in the past decade, exceeding $107 million in 2013. Areas of focus include: nanotechnology, materials science, biomedical engineering , signal processing, transportation planning, and solar physics. Regarding the latter, the school operates both the Big Bear Solar Observatory , and the Owens Valley Solar Array . A leader in applied mathematics, its Department of Mathematical science is recognized as one of the most productive in the country. NJIT also focuses on economic development; two examples of which are the Enterprise Development Center , an on-campus business incubator that currently houses 90 start-ups, and the New Jersey Innovation Institute. An early leader in distance learning – it trademarked the term "Virtual Classroom" – the university offers a wide range of on-line courses and degrees.NJIT is a member of the Association of Public and Land-grant Universities. It is also a sea-grant college, and a member of the Association of Collegiate Schools of Architecture. A leader in attracting first-generation, low-income, and underrepresented students into STEM fields, the university has participated in the Ronald E. McNair Post-Baccalaureate Achievement Program since 1999. Wikipedia.
New Jersey Institute of Technology | Date: 2016-09-14
Carbon nanotube (CNT) immobilized membranes for harvesting pure water from air include CNTs incorporated into a layer of super-absorbing polymer. The super-absorbing polymer may be cast over a porous substrate. The super-absorbing polymer binds strongly to water and generates water clusters while the CNTs are operable to interrupt the specific water-polymer and water-water interactions to generate more free water which permeates more easily through the membrane. Methods of forming the CNT immobilized membranes are provided. The CNT immobilized membranes disclosed herein exhibit improved water vapor extraction efficiency, water vapor removal and mass transfer coefficient.
New Jersey Institute of Technology | Date: 2016-11-09
A hydrogel composition is provided that includes crosslinked dextran and dextran sulfate. The hydrogel composition may be included in a matrix that includes an osmotically active material immobilized in the matrix. The hydrogel composition can be combined into superabsorbent preparations that are capable of adsorbing large amounts of water. The superabsorbent preparations have advantages in the use of absorbent materials for physiological fluids, such as diapers, incontinence products, wound dressings and the like, as well as agricultural and environmental applications. In addition, biodegradable superabsorbents of the invention can be prepared.
New Jersey Institute of Technology | Date: 2016-04-21
Provided is an electroactive structure for growing isolated differentiable cells comprising a three dimensional matrix of fibers formed of a biocompatible synthetic piezoelectric polymeric material, wherein the matrix of fibers is seeded with the isolated differentiable cells and forms a supporting scaffold for growing the isolated differentiable cells, and wherein the matrix of fibers stimulates differentiation of the isolated differentiable cells into a mature cell phenotype on the structure.
New Jersey Institute of Technology | Date: 2015-08-07
This invention relates to Tribal Abstraction Networks (TAN), a new type of Abstraction Network designed for hierarchies that do not have attribute relationships, assuming only the existence of multiple parents. A Tribal Association network can summarize the content and structure of terminology hierarchies and support their Quality Assurance (QA) by identifying concepts with a higher likelihood of incorrect or missing IS-A relationships.
New Jersey Institute of Technology | Date: 2016-11-10
Disclosed is a three-dimensional (3-D) in vitro model for studying and subsequently treating cancer dormancy. The model is specifically useful in studying breast cancer and may be used for drug discovery because it maintains the breast cancer cells in a dormant state, unlike conventional two-dimensional (2-D) tissue culture plastic (TCP). Tumor-forming breast cancers cells were seeded on the 3-D model scaffolds and remained viable without proliferation. They also express stem cell markers typical for dormant cells. Dormant breast cancer cells also maintain their phenotype when seeded on the 3-D model unlike conventional 2-D models. The 3-D model includes a fibrous polycaprolactone with 30 wt. % hydroxyapatite. The 3-D model mimics the structure of bone tissue.
New Jersey Institute of Technology | Date: 2017-01-09
Methods and apparatus for packetized energy distribution are provided. A data and power delivery network, called a digital grid, is provided to facilitate delivery of power upon request. Energy bits (quanta) serve as a means to deliver energy as well as coding. Voltage pulses of varying time scales are used for coding and current levels help to accurately meet customers demand. Energy is sent as packets (a combination of energy bits), and specific energy packets are addressed to specific customers permitting accurate monitoring and distribution of electrical energy.
New Jersey Institute of Technology | Date: 2016-08-12
Due to the size and complexity of tissues such as the spinal cord and articular cartilage, specialized constructs incorporating cells as well as smart materials may be a promising strategy for achieving functional recovery. Aspects of the present invention describe the use of an electroactive, or piezoelectric, material that will act as a scaffold for stem cell induced tissue repair. Embodiments of the inventive material can also act alone as an electroactive scaffold for repairing tissues. The piezoelectric material of the present invention acts as a highly sensitive mechanoelectrical transducer that will generate charges in response to minute vibrational forces.
New Jersey Institute of Technology | Date: 2016-10-20
Exemplary embodiments of the present disclosure relate to systems and methods for structural health monitoring in which a sensor network includes motes distributed with respect to a structure. The sensor network can utilize dynamic pattern matching to monitor and localize damage in the structure without modeling or solving equations of the engineered structure, and without ascertaining or separately accounting for extraneous and often-difficult-to-recognize or evaluate factors, such as of the environmental and stimuli-related variability type.
Wei Z.,New Jersey Institute of Technology
Nucleic acids research | Year: 2011
We develop a statistical tool SNVer for calling common and rare variants in analysis of pooled or individual next-generation sequencing (NGS) data. We formulate variant calling as a hypothesis testing problem and employ a binomial-binomial model to test the significance of observed allele frequency against sequencing error. SNVer reports one single overall P-value for evaluating the significance of a candidate locus being a variant based on which multiplicity control can be obtained. This is particularly desirable because tens of thousands loci are simultaneously examined in typical NGS experiments. Each user can choose the false-positive error rate threshold he or she considers appropriate, instead of just the dichotomous decisions of whether to 'accept or reject the candidates' provided by most existing methods. We use both simulated data and real data to demonstrate the superior performance of our program in comparison with existing methods. SNVer runs very fast and can complete testing 300 K loci within an hour. This excellent scalability makes it feasible for analysis of whole-exome sequencing data, or even whole-genome sequencing data using high performance computing cluster. SNVer is freely available at http://snver.sourceforge.net/.
Agency: NSF | Branch: Standard Grant | Program: | Phase: Secure &Trustworthy Cyberspace | Award Amount: 599.99K | Year: 2017
Video-based traffic monitoring systems have been widely used for traffic management, incident detection, intersection control, and public safety operations. Current designs pose critical challenges. First, it relies heavily on human operators to monitor and analyze video images. Second, commercially available computer vision technologies cannot satisfactorily handle severe conditions, such as weather and glare, which significantly impair video image quality. Third, the simultaneous transmission of numerous video signals to a central facility creates extreme demands on the communications network, which can lead to jamming. This project presents a novel approach that incorporates wireless sensor networks, hierarchical edge-computing, and advanced computer vision technology. The methods can be expanded to address a wide spectrum of potential applications including wrong-way driving alerts, congestion detection under bad weather conditions, accident scene management support, suspect vehicle tracking, wildfire detection and alert, and emergency evacuation, which could save lives and hundreds of billions of dollars annually. It also aligns with the smart city initiative.
By using bluetooth/WiFi detection technology, the trajectories and speeds of vehicles equipped with such devices will be collected. This information, along with the captured video data, will be analyzed by the proposed computer vision software, installed at the edge of the network on cloudlets, to perform fast detection and prioritization of the video streams from different cameras. The proposed hierarchical edge-computing paradigm will not only enable real-time big data analysis at the edge but will also be demonstrated and actualized to perform timely efficient video analytics. Depending on the weather conditions, different detection and prioritization algorithms will be activated. Video coding will then be implemented to transmit the selected video streams to the central back-end system for further processing. If an incident is detected by the algorithm either at the edge or at the back-end, a necessary feedback action will be taken, such as calling an emergency group, the highway safety dispatch, or the police. Under a technical partnership with New Jersey Department of Transportation, multiple pilot tests of the proposed system will be implemented on selected highway corridors designated by the department.