Related Works Clause Samples
The Related Works clause defines how works that are connected to or derived from the main subject of the agreement are to be treated. It typically clarifies whether such related works—such as modifications, enhancements, or derivative projects—are included under the same terms as the original work or require separate consideration. This clause ensures that both parties understand the scope of rights and obligations regarding any additional or associated works, thereby preventing disputes over ownership, usage rights, or responsibilities related to these works.
Related Works. The number of nodes in a fully secure network can be increased by using multiple key spaces. In [14], ω key spaces are generated and each node is given a sub-set of τ randomly chosen keys from ω. After deployment, nodes discover their common keys and use the ▇▇▇▇’▇ scheme to form pairwise keys. The scheme uses a similar idea to the probabilistic scheme of Eschenaeur-Gligor [3] where nodes are given a random set of keys from a global key space. In these schemes the aim is to achieve full connectivity, but not necessarily complete connectivity like a full mesh. Another approach also uses ▇▇▇▇’▇ scheme with multiple key spaces to improve resistance to the ▇▇▇▇▇ attack [15]. In [16], the scheme for a clustered topology is proposed. Here, the cluster-heads implement the ▇▇▇▇’▇ scheme to derive pairwise keys among themselves. Non cluster-head nodes do not implement the ▇▇▇▇’▇ scheme. Instead, they store a pre-computed secret key Ki for use with a clus- ter head. Prior to deployment, the base station computes the pairwise keys of this node with a certain number of associated cluster-heads. These are then combined into a secret key Ki and stored in the node, together with the identities (IDs) of the associated cluster-heads. When a node needs to establish a secure link with a physical cluster-head, it sends its own ID and the IDs of its associated cluster- heads. The physical cluster-head forwards the node’s ID to the associated cluster-heads to compute the pairwise keys using ▇▇▇▇’▇ scheme and thereby derives the secret key Ki. In this way, non-cluster head nodes store minimum keying material and do not need to perform any key computation computation. Instead, these are delegated to the cluster heads which carry the additional load of communicating with other cluster heads to derive the key with a non cluster-head node. The network size would still be limited to the (m 1) nodes for a fully secure network. Since cluster-heads establish pairwise keys among themselves using the basic ▇▇▇▇’▇ scheme, the key size and memory requirements, and network size would still be limited to the original scheme.
Related Works. 11.1 Should the Subcontractor’s performance depend in any way on the proper performance of another person, for example, a consultant or another contractor, the Subcontractor must take all reasonable steps to enquire into and discover any defects in such performance and the Subcontractor must promptly provide a written report to Savcor ART relating to any defects it discovers.
11.2 The Subcontractor must co-operate fully with other subcontractors and consultants and with Savcor ART’s employees, contractors and agents.
11.3 The Subcontractor shall incorporate any reasonable changes in scheduling and performance of the Works to accommodate the needs of other subcontractors or consultants and the Subcontractor shall comply with the directions given by Savcor ART’s project manager.
11.4 Any consequent delay or disruption claims must be dealt with in accordance with Part 6.
Related Works. The Semantic Web was introduced by ▇▇▇ ▇▇▇▇▇▇▇-▇▇▇ for Dec/31, 2000 June 30, 2008 2000-2008 Africa 4,514,400 51,065,630 1,031.2 % Asia 114,304,000 578,538,257 406.1 % Europe 105,096,093 384,633,765 266.0 % Middle East North America 3,284,800 108,096,800 41,939,200 248,241,969 1,176.8 % 129.6 % America/Caribbean Oceania / Australia 18,068,919 7,620,480 139,009,209 20,204,331 669.3 % 165.1 % WORLD TOTAL 360,985,492 1,463,632,361 305.5 % the first time in one of his speeches in 1998 as an extension to the current web [3]. He described the different versions of the Semantic Web architecture in 2000 [4], 2003 [5], 2005[6], 2006 [7]. Fensel is one of the main contributors in the Semantic Web field discussed the Semantic Web and the languages associated with its architecture in 2000 [8], while in 2002, he describeed OIL and its relation to OWL and the future capabilities of OWL [9]. ▇▇▇▇▇▇ was not the only scientist who made great efforts in this area, but there are ▇▇▇ ▇▇▇▇▇▇▇▇ [10], ▇▇▇▇▇-▇▇▇▇▇▇▇▇▇ [11] and ▇▇▇▇▇▇ [12] also participated in this domain. There is still a long way for the full vision for the Semantic Web and the full implementation of it [13] [14].
Related Works. For each unit of a Related Work (as defined in Section 2(b) of the Second Amendment) distributed to a customer by Comshare, Comshare shall pay Arbor a royalty in the amount of (i) the applicable royalty as provided in Subsection I(A)(1), I(B)(1) or I(C)(1) above plus (ii) * Arbor shall bear any one time payment or lump sum fee payable by Arbor to a third party for distribution rights to a Related Work where the rights obtained include distribution rights for any party in addition to Comshare.
Related Works. Arbor will provide to Comshare all Related Works owned and developed by Arbor. If a Related Work is developed by a third party and Arbor retains for itself or obtains from the third party, as the case may be, the right to distribute the Related Work to Arbor's customers and distributors, Arbor will use reasonable commercial efforts to obtain or retain the right to provide the Related Work to Comshare for distribution by Comshare under this License Agreement. In such event, Arbor agrees that it will not withhold or encourage any third party to withhold from Arbor the right to relicense the Related Work to Comshare; provided, however, that Arbor does not guarantee that it will be able to retain or obtain such right for Comshare. Notwithstanding the foregoing and by way of limitation, the Parties agree that the rights granted by Arbor to Comshare hereunder shall in no event be greater than the rights granted to or retained by Arbor with respect to the Related Works. In addition, and notwithstanding anything to the contrary herein, (i) with respect to any Related Work owned by a third party, Arbor makes no different representations or warranties to Comshare than those provided by the third party to Arbor and (ii) with respect to any Related Work owned or developed by a third party, Arbor undertakes no obligation of support or maintenance greater than that provided by Arbor to any of its other distributors. In the event that Arbor does retain or obtain rights for Comshare with respect to any Related Work of a third party, Comshare shall pay Arbor an additional royalty as described in Section I(E) of Exhibit D to the License Agreement.
Related Works. Many works are available in the literature which addresses the use of utility functions for negotiation in multi-agent systems. Out of others, some of them to name are: [3], [4], [5], [6], and [7]. However, their works can be useful for the negotiation between SWSs, but they are not directly addressing it. The work in [3] has used the concept of utility theory and uses combination of ease utility and financial utility in the negotiation process. [4] have presented the concept of marginal utility gain and marginal utility cost to structure the search process and to find the solution which maximizes the agents’ combined utility. The work uses a multi-attribute utility function into the negotiation process. SCENS [5], a Secure Content Exchange Negotiation System, enables the sharing of sensitive multimodal digital utility theory and their negotiation model consists of three processes: attributes evaluation, utility determination, and attribute planning. The work by [7] presents a utility function which also considers the Quality of Service level and provides special consideration to the various attributes involved in the telecommunication services such as quality of medium, type of medium etc. Similar to these reported works, this paper also presents a utility model helpful in the negotiation process for the decision-making. The paper presents a utility model using multiple attributes for the utility-calculation and can be used for the negotiation between SWSs as well as in multi-agent systems. The presented model is based on a novel understanding that if the price, response-time and other such parameters are changed appropriately in accordance with the change in quality, then the utility for that proposal should remain intact. The model presents the utility- calculation using very basic values which are easily available in a negotiation system such as values of price, response-time, quality etc.
Related Works. Many Key Agreement protocols have been presented in the literature. One of them is the cliques suite, a variety of protocols that extend the ▇▇▇▇▇▇- ▇▇▇▇▇▇▇ two party protocol to groups (▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇, ▇▇▇▇ ▇▇▇▇▇▇, ▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇, 1998). In IKA.1 (Initial Key Agreement protocol 1), the last member who joins the group plays the role of group
Related Works. Today, advances in technology have provided portable processors with wireless interfaces that allow networked communication among mobile users. The computing environment, which is referred to as a mobile computing network, no longer requires users to maintain a fixed and universally known position in the network and enables almost unrestricted mobility.
Situation 1. Processors in the same group communicate with each other directly by virtual backbone.
Situation 2. Processors in different groups are exchanging messages with each other via virtual subnet or physical communication media, e.g. agent-based communication.
Figure 1. The topology of virtual subnet
Related Works. The authors in [3] presented an SLA-Based Admission Control for a Software-as-a-Service Provider in Cloud Computing Environments. In this work, an algorithm determining customer satisfaction for SaaS cloud model was presented. The crux of the work was to develop a means of maximizing profit by saving virtual machine cost through a process formed by conducting extensive analysis. A dynamic data-driven simulation approach for preventing SLA violations in federated cloud environments was presented in [6]. The work presented an architecture for enabling the release of consumer resources without issues in terms of the agreement. This was achieved using multiple cloud service providers being utilized by a consumer. Service Level Agreement in Cloud Computing was presented in [7]; wherein the authors examined service level agreements between consumers and providers. A Web SLA framework was then proposed, implemented and validated. In [8], a framework for negotiating Service Level Agreement of Cloud-based Services was presented. It was a framework that helped decided the most suitable cloud service provider for a cloud user. The authors also highlighted the important roles of cloud brokers for optimum resource utilization by the consumer. A capacity driven utility model for SLA negotiation of cloud services was presented in [9]. The work proposed a dynamic system which ensured that cloud users effectively utilized resources provided by their cloud provider. The authors noted that customers’ requirement and utilization of cloud resource were relevant criteria to be considered when drawing up SLAs that are expected to satisfy both parties. The role of governance and other SLA issues in cloud environment were presented in [10]. The work presented key attributes to be considered when drawing up service contracts in cloud computing. The issue of cloud governance was also examine with a view of determining suitable means of managing information with minimum consequences. The authors in [11], presented a pricing strategy for cloud computing. They proposed a hybrid strategy for cloud pricing services between a vendor and consumer. The approach was to use service interruptions as a determinant in the relationship between the cloud users and the provider in terms of services to optimize profit. The issues and challenges faced when providing QoS and SLAs in cloud environments were discussed in [12]. The issues that could arise from the service providers optimizing users’ work...
Related Works. Several proposals, in the last few years, address the problem of supporting agents’ activities with coordination approaches similar to Co-Fields. In the videogame domain, one of the most remarkable examples is repre- sented by the popular videogame “The ▇▇▇▇” [18]. “The ▇▇▇▇” exploits sorts of computational fields, called “happiness landscapes” and spread in the virtual city in which characters live, to drive the movements of non-player characters [4]. For instance, if a character is hungry, it perceives and follows a happiness landscape whose peaks correspond to places where food can be found, i.e., a fridge. After having eaten, a new landscape will be followed by the character de- pending on its needs. Although sharing the same inspiration, “▇▇▇▇’ happiness fields” are static and generated only by the environment. In Co-Fields, instead, fields are dynamic and can change over time, and agents themselves are able to generate fields to promote a stronger self-organization perspective. Remaining in the entertainment domain, it is worth reporting that autonomous agents, coordinating their movements and their actions, have been employed in the recent movie “The Lord of the Rings, The Two Towers”. In the Helm’s deep battle, to enhance the scene realism, the 50000 fighting characters have been modeled by means of goal-oriented autonomous agents, developed within the Massive framework [7]. In this approach agents interact with each other on a strict local basis, without any long-range interactions. In our opinion, also this kind of approach could take advantage of integrating long-range, mediated in- teractions like those enabled by fields. These, in fact, would allow simulating large-scale tactics, like a global flanking or a global surrounding. Also outside the entertainment domain, similar approaches can be conve- niently used. Several projects in the last few years have worked to facilitate distributed-motion coordination. In robotics, the idea of potential fields driving robotic movement is not new [6]. For instance, one of the most recent manifesta- tions of this idea, the Electric Field Approach [5] was used to control a team of Sony Aibo legged robots in the RoboCup domain. Following the EFA approach, each Aibo robot builds a field-based representation of the environment from the images captured by its head-mounted camera and decides its movements by examining the fields’ gradients of this representation. Although close in spirit, EFA and Co-Fields differ...